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Computer Vision

- Visual Search Engine with Apache MXNet and HNSWlib submitted by /u/thomasdlt [link] [comments]
- What is the current best approach to a particular type of object tracking in a live video stream? TensorflowHi! Using today's technology how would one go about creating an SDK that can be used to detect and track only one particular type of object (ie. any mobile phone) in a live video stream. What approach would you use (AI/ML, etc.)? What tools would you use (TensorFlow, etc.)? submitted by /u/nardev [link]…
- Looking for some guidance with python, openCV and Caffe Models CaffeI've been really diving into computer vision for the last couple months. I'm a seasoned programmer, but I've never once tried this stuff before and wow, there's a lot to take in. I've been working through a ton of the material that uses python and opencv. Just learning the concepts... there are so many concepts…
- Recover Original Image I'm wondering if it's possible to remove the "pixelation" (bluriness) from pixelated images? Can we train a network to do this? Are there potential security implications - people pixelated confidential info etc. Or, is it the case that the pixelation is not generated from the original image at all therefore making it irreversible? submitted…
- Re-create contrast autofocus in opencv He Guys, I'm currently working on a project where I want to know if somebody's face is sharp in focus in a video. I already have the face detection going on and i'm using the 5 point facial landmark model to also see where the eyes are. My goal is to find a way to…
- Online camera calibration pattern generator submitted by /u/calib-io [link] [comments]
- AI tool controls people in videos - Deep Video Portraits - SIGGRAPH 2018 [x-post from r/MachineLearning] submitted by /u/NicoleK1993 [link] [comments]
- What does localization refer to in Image Processing? I'm learning about interest point detectors and one requirement for them apparently is that: - the corner points should be well localized What does this mean in simple terms? submitted by /u/jasserhere [link] [comments]
- Is there a tutorial that has examples on calculating Optical flow? I'm learning about optical flow and I think I get the idea conceptually. I understand the Brightness constancy assumption and the smoothness constraint and I get that u and v are to be determined. I'm still learning the Horn-Schunck method but I can't seem to find a tutorial that explains how the equations will work…
- Concept: affordable and accurate 6dof tracking using global shutter cameras and IR lit spheres/tubes. Building on the methods that Playstation Move and traditional mocap uses, I propose: Hybrid "outside in/inside out" tracking. Fused IMU + camera data. Using a device like a See3CAM_10CUG or (a more affordable) black and white or IR 360deg camera at at least 60fps to track a sphere, and cylinder (which maintains appearance regardless of…
- How is your ECCV reviews? It's my first submission to a CV conference and I wonder the reactions of other researchers to reviews. What are your scores? Are the reviews concise and acceptable? submitted by /u/mkocabas [link] [comments]
- Training on Videos reduces accuracy I have created model that for a particular use case that takes in an image, and then goes through successive convolutions to produce a heatmap. It works pretty well. Now, I wanted to extend this to videos so it could be "temporally smoother". So I broke my net up into a recurrent structure, and i…
- Can you please help with designing an extended Kalman filter for my senior project? Hello everyone, Please I need some help with my senior project and would appreciate if you can offer it. My aim is to implement a hybrid algorithm combination of the KLT algorithm and an extended Kalman filter and analyse the algorithm using this dataset. I would appreciate if you can go through the paper(it's short)…
- Which algorithm to use for auto extending edges of an image? I'm looking for something similar to Google Snapseed's Smart Extend or Photoshop's Content Aware Fill. I tried seam carving but it is distorting and compressing my images. I want it to extend the image. Are there any papers/resources/code for this? submitted by /u/mln00b13 [link] [comments]
- Use your Pen drive as RAM !!!!!!?? submitted by /u/CyberkingJohn [link] [comments]
- How to approach problem of mapping wildlife tracks in imagery? Keras TheanoI want to map animal tracks in aerial imagery. How would you suggest I approach this? I am currently trying to use a CNN coded with python using Keras with theano backend. I am currently trying to first detect the tracks with binary classification - 'tracks' or 'other', where 'other' can be absolutely anything but…
- Player tracking in footballI'm looking to implement a method of tracking players in a given video clip of an American football play, and mark the coordinates in an excel sheet or something. I've looked online for object tracking and found Faster RCNN, YOLO v3, SSD, but I'm having some trouble making sense of it. Another thing I've seen…
- [Question][OpenCV-JS] Get x,y locations from a contourHi all, I'm currently working on a project that reads an image, gets the corner points of a shape in that image (Using Harris Corners) and then returns those points as an array of x,y coordinates to be used to create a 3D object. Unfortunately the problem I'm having is that, even after the points…
- Real-time Sudoku Solver submitted by /u/tahaemara [link] [comments]
- My attempts to detect rows of coffee using OpenCV & Python submitted by /u/jawmes8 [link] [comments]
- Patterns in images when looping in 2DI'm trying to do linear correlation between images in 2D. I loop thru each pixel of both the images, and calculate the correlation by taking a window around a pixel coordinate for the two images, find the pearson's correlation coefficient for the pixels in the window of one image against that of the window of…
- Infrared camera recommendations for low-light, high-resolution video capture?My specific application is Infrared, indoor (low-light) video capture of slowly-moving insects, focused on a single, narrow plane. So large aperture might be good. We will be adding infrared LEDs. The frame rate of capture needed would be quite low (1 frame per second). Also, the resolution needs to be quite high, to see a…
- Human tracking in multiple video segmentsHey guys, Any suggestions on how to implement a visual system that draws a bounding box on a particular person that is selected in a video. Also there are multiple videos and it should automatically track the same person in the videos. Discussions are welcomed. Thanks submitted by /u/Migom6 [link] [comments]
- Undergraduate internships at research labsHi, I'm planning to apply for research positions in computer vision/image analysis/machine learning labs as an undergraduate intern next summer. It might be a little early but I want to prepare my resume with these goals in mind. If anyone could suggest institutes/labs that accept undergraduate interns in specified or related fields, it'd be great.…
- Independent Component Analysis for videosAny idea where I can get the code implementation of Independent Component Analysis (ICA) used for Background subtraction or Motion detection? submitted by /u/kbnewreddit [link] [comments]
- Mask RCNN QuestionHi all, I'm a bit confused about the paper and how it detects keypoints. Does it do it end to end, and produce keypoints on a 56x56 map for multiple people, or does it give a bunch of region proposals from which you have to run the net N times on bounding box areas …
- Metric to measure quality of a panoramaHey, is there a metric in which the quality of built panoramas can be judge? submitted by /u/Caimorto [link] [comments]
- RMDL: Random Multimodel Deep Learning for ClassificationRandom Multimodel Deep Learning (RMDL) Github: https://github.com/kk7nc/RMDL arXiv : https://arxiv.org/abs/1805.01890 submitted by /u/kk7nc [link] [comments]
- DAVIS Challenge on Video Object Segmentation @ CVPR 2018This year we have two tracks available: Semi-supervised Interactive You have time to submit until 25th May 2018 23:59 UTC. Good luck! https://i.redd.it/g4dofvhsjey01.png submitted by /u/albertomontes [link] [comments]

Deep Learning

- How to build Amazon like text recognition system in python? I was just playing around with Amazon’s rekognition API and it works amazingly well with detecting text from images, how would one go about building something like that? submitted by /u/xpbit1024 [link] [comments]
- A simple webapp using face detection directly in the browser (webGL & deep-learning) On the occasion of the soccer world cup 2018, we have released a webapp featuring makeup for fans... https://i.redd.it/plvzdtttsmz01.gif submitted by /u/StartupJeeliz [link] [comments]
- Where to go with algorithmic breakthrough? Partly by chance and partly by very hard work I stumbled upon an algorithm to speed up training of most deep neural networks by >10x. I am fully aware of the absurdity of the situation since I am by no means an established researcher in the field so just in case you dont believe me…
- Searching for a 3D Dataset, segmented by 2 or more Experts We are looking for data sets with 3D images, preferably from the medical field. It is important that they have been segmented by more than one person/expert. An example of this is the BraTS Challenge dataset (https://www.med.upenn.edu/sbia/brats2018/data.html) or the LIDC IDRI Dataset (https://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI), but we need more datasets for our research. Many thanks in advance!…
- Getting into it or first steps Keras TensorflowI'm trying to get a deeper understanding on the whole machine learning/deeplearning subject (it got my attention by the Tensorflow Google I/O 18 talks). Where - tbh - I don't understand everything totally, I'm willing to pay in time to get it. So most examples out there use preformatted datasets which is kinda nice for…
- Input to a neural network. How does the NN take input? For example, I have an 8 input variables and 1 output variable dataset, then will I give single input variable to a single neuron which will result in 8 neurons in the input layer? If that's the case what if we have 100 input parameters will we have 100…
- YOLOv2 Output Tensor Hi! I was playing around with the Darkflow version of Yolov2 (https://github.com/thtrieu/darkflow) and I was wondering how the hell is built the predictions dictionary from the output tensor of the network. This is pretty important because if you want to use the network outside the darkflow package (for example using a generated .pb file) you…
- Searching for a good text/article/book on what is deep learning and what are the differences to machine learning im studying computer science and starting just now with deep learning. any help or pointers in the right direction are welcome :) submitted by /u/jakjfkea [link] [comments]
- Deploy Keras neural network to Flask web service - Video Series KerasLearn how to deploy and host your machine learning model as a Flask web service, build a front end web application to access your model, and interact with your model in the browser with this video series. Part 1 - Overview Part 2 - Build your first Flask app Part 3 - Send and Receive…
- Deep Q-Learning Hey Reader I am pretty new to the Q-Learning area, but i really want to learn it! I watched some tutorials already, but i don't really understand how to code it, for example if i see some example code for Q-Learning i don't really understand what it going on. I know the terms for…
- What's the best deep learning machine I can build on a $500 budget? submitted by /u/bonbonbaron [link] [comments]
- Fizzbuzz zero submitted by /u/chocolechat [link] [comments]
- Image clusteringCan you suggest a good unsupervised clustering algorithm for images, preferably with open source implementation? submitted by /u/guruji93 [link] [comments]
- CollaborationAnybody up for collaborating on a DL based network and then publishing in a decent conference? I have an idea regarding a network but I don't have enough time to pull it off alone. I am looking for collaboration. If you are up for it, do reach out at kamranejaz98@gmail.com. Thanks. submitted by …
- Really nice summary of AI history submitted by /u/ScotchMonk [link] [comments]
- Real-time Sudoku Solver submitted by /u/tahaemara [link] [comments]
- [P] "I Pity the fool", Deep Learning style submitted by /u/rragundez [link] [comments]
- How to CNN count the dogs in an image with detection or without detection?I want to count the dogs in a given image by employing CNNs. First alternative is to train the CNN such that it detects dog objects then count them seperately. Second one is that CNN is trained such that it directly regress to the number of dogs without explicitly detecting dogs. Can anybody compare the…
- Google TPU * 1 ≒ vs NVIDIA V100 *4, does it worth for rewrite my TensorFlow codes? TensorflowCurrently I'm coding on CPU Jupyter Notebook and train by GPU. TensorFlow works both on CPU or GPU, but when I want to use TPUs, I need to rewrite code for TPU (such as tf.contrib.tpu.TPUEstimator) 1TPU and 4V100s are almost same performance and cost for now. I wonder how you guys do debugging on TPU?…
- New AI tool controls people in videos! submitted by /u/NicoleK1993 [link] [comments]
- [N] Call for papers: iMIMIC - Workshop on Interpretability of Machine Intelligence in Medical Image Computing @ MICCAIWe would like to invite you to submit your contributions to the Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at the 2018 MICCAI conference in Granada. iMIMIC is a half-day workshop to be held on September 16th, 2018. The program features two excellent keynote speakers as well as oral presentations from…
- TensorFlow Tutorial- Explained For Beginners Tensorflow submitted by /u/pooja307 [link] [comments]
- Discriminative Separable Networks (DSN)Do you guys think there could exist a network that would be extact replica of GAN i.e. instead of generating samples from same distribution, it would distinguish between samples in a sense to check for pirated content. Much like hashing images to detect pirated images/copied images. Maybe a hidden watermark which will not be exactly…
- What are some simple and easy neural network modules in Python?Me and my friend are new to the game of deep learning and are having trouble finding modules that have good documentation for us to use. I have made only one small network and we are looking to make a decent sized project that requires a NN. What are some simple modules for us to…
- 3D Coordinates to Voxel to 3DCNNI have a list of 3D coordinates and am trying to take it to a voxel for a 3DCNN in Python. I re-orgin the coordinates around a point. Convert/round raw coordinates so that 1 voxel equal 1 original X,Y, Z coordinate. Trim down to +/- a certain dimension value in X Y and Z direction.…
- Diffrence between model.compile(), model.fit(), model.evaluate(), model.predict() ? KerasI am new to ML and trying to build a basic NN using Keras. I am not able to understand the difference help me out will you? submitted by /u/Dump7 [link] [comments]
- Re-train model with new classesI have built an image classifier with 2 classes, say 'A' and 'B'. I have also saved this model, using model.save(). Now, after a certain time, the requirement arose to add one more class 'C'. Is it possible to load_model() and then add only one class to the previously saved model so that we have…
- Q-LearningHey Reader I am pretty new to the Q-Learning area, but i really want to learn it! I watched some tutorials already, but i don't really understand how to code it, for example if i see some example code for Q-Learning i don't really understand what it going on. I know the terms for…
- Deep Learning top relevant and latest news feed submitted by /u/mr_j_b [link] [comments]
- Deep text summarization: of amazon reviews, github issues and news articles submitted by /u/tttttm [link] [comments]
- Deep Learning with Ensembles of Neocortical Microcircuits - Dr. Blake Richards submitted by /u/otakuman [link] [comments]
- [P] AttGAN-Tensorflow Tensorflow submitted by /u/LynnHoHZL [link] [comments]
- [R] Arbitrary Facial Attribute Editing: Only Change What You Want submitted by /u/LynnHoHZL [link] [comments]

Learn Machine Learning

- [X-Post From r/MachineLearningQuestions] How to Feature Engineer? Like probably everyone in this space, I have taken Machine Learning courses and really enjoyed them. Theoretically I understand the fundamentals of the different algorithms. Technically, I am able to pause the videos and complete the instructor's code ahead of them. All is well... Until I go out and try to actually create models…
- Question about 3d Tensor Inputs in Tensorflow TensorflowI'm trying to use a simple DNN to train and classify a data set, however I'm running into some complications. Firstly, I believe I'll need to use a 3D tensor as my input layer, because each feature in my samples is a list, not a single value. The data represents 5 components of each sample,…
- Which environment to use for robotic reinforcement learning? Hello, I want to do some experiments with using robots and reinforcement learning. I have seen some people using Gazebo, but also pybullet. Which environment can you guys recommend? I have the robot urdf, want to import it then do some learning. submitted by /u/zspasztori [link] [comments]
- Confused about Vanishing Gradients Problem? Hey Guys, So, I'm having a bit of trouble understanding why the vanishing gradients problem is such a big issue in training neural nets. So, if you're gradient is extremely small, doesn't that mean your cost function has to be extremely flat? If your cost function is extremely flat, wouldn't that mean that finding the…
- How to choose the subdomain in AI/ML? So I went to a teacher for extensive guidelines for becoming good enough in this field. My aim is to be better at AI/ML in future so that I can solve real life problems and implement systems to do that. The teacher told me to choose a branch of ML in which I want to…
- Why not normalize test set with its own mean and variance? I get that you don't use the mean and variance of the entire set since it'll "leak" information about supposed to be "unseen" data but I don't see how information will leak if the test set was normalized with its own mean and variance. submitted by /u/VentoAureoGoldenWind [link] [comments]
- Most comprehensive and up to date Tensorflow course or tutorial? TensorflowEven stuff that was released over a year ago is alittle outdated because of everything that has come out recently (get_variable, tf.data, eager execution, etc.). I'm not looking for an intro. I have worked on a project with Tensorflow, and looking for something that'll give a comprehensive and deep understanding of how Tensorflow works so…
- Is there any online course/tutorial that combines advanced Python topics like metaclasses with Machine Learning? submitted by /u/Akpork [link] [comments]
- How Authority Influences People submitted by /u/SharpInvestment [link] [comments]
- What to look for during EDA and what to start with? Hello everyone, I was wondering if you guys could help me set some kind of path to follow to properly use EDA. On Kaggle for example, there are a lot of exploratory kernels but I sometimes feel like they're not always that useful so what should I do and in what order? For now, I'm…
- Conprehensive Guide to Wasserstein GANs ! submitted by /u/vector_machines [link] [comments]
- Unsupervised feature selection Can anyone point me to a good implementation of an algorithm that does unsupervised feature selection to identify which are the important features in a dataset by using linear non-linear information among features. For eg. If a company has 200 metrics across which it has to find cluster of subscribers, can an algorithm give like…
- How to know if you have a NVIDIA device on computer? My internship boss asked me if I had this on my laptop but I have no idea what it is or how to use it for building a machine learning network. Any help would be appreciated. submitted by /u/sorashiroopa [link] [comments]
- TWIL (This Week I Learned) - Share something new that you have learned this week! It doesn't matter if it's something trivial. As long as it's new information about machine learning you didn't know until this week, feel free to share! submitted by /u/AutoModerator [link] [comments]
- In the derivation of BPTT algorithm, is softmax function necessary? In the derivation of BPTT algorithm, lots of examples use softmax function at the output state: y_output = softmax(weight*hidden state) However, if I'm working on a task such as forecasting or text processing, I don't need softmax function to product the output. In this case, how could I derive the update equation of BPTT? Is…
- Does Andrew Ng have a beginner's python course? I saw someone the other day say something along the lines of "skip his octave course... go straight to the new one in python" However, all I see in python is deep learning, and I thought I should probably do machine learning first? I have experience in Python so I'd really prefer to work in…
- Need help learning how to gather data and then prepare data (with pandas?) for learning algs. TensorflowI feel like I've hit a pretty big wall and it's not actually a machine learning wall. The background on my learning progress is that I've completed the Andrew Ng Matlab Coursera course, I've read a decent amount of Intro to Statistical learning and a bit of ESL, as well as some of the other…
- What should the input look like for an this rnn modal? A couple years ago for a school project I worked on a RNN (more specifically a LSTM) for text generation. Essentially this is just prediction, and so I have become curious about the potential of using an RNN to predict sports outcomes. I am having trouble thinking about how to frame the problem though. Essentially…
- Is there something such "The Odin Project" but for Machine Learning using Python? Hello everyone! I am looking for a good resource like "The Odin Project" but, if possible, "Machine Learning" oriented. I love the idea of following a curriculum... Thanks in advance! submitted by /u/sercosan [link] [comments]
- Determining which shape is an object? Hi. I am a complete noob about machine learning, although I know a bit of python. I wanted to make a super simple (in theory) neural network. The concept is: giving the 3 dimensions of the object, determining if it’s a cube, rectangle and so on. How could I achieve this? submitted by …
- SVM based object recognition and detection. I want to recognize (and then possibly detect) traffic signs on pictures/videos. I know that yolo exists and I could try to train it on my own dataset, but I don't know much about it so I don't want to use an algorithm I don't understand. I've studied the theory behind SVM (lagrangian duality, kernel…
- Need help with reinforcement learning TensorflowCould anyone please give me advice on how to improve this reinforcement learning Connect4 game made in Tensorflow python. I've tried to explain everything in the commenting. https://github.com/MakeNEnjoy/Connect4 submitted by /u/Makenjoy [link] [comments]
- What is the use of MACROS data? I picked a random project in kaggle to practice and I noticed that along with train and test data, they also provided MACROS data. I'm sure it has a use in a prediction model. So can someone be kind enough and help a lad out? submitted by /u/purushothamkvn [link] [comments]
- How do I Start? Hello there,My name is abhishek and I want to learn data science so that I can have a career out of it. I have left my job because I was not happy with what I was doing (Basically a support job and minor code fixes).I have started Andrew Ng's ML course and I feel its…
- Independent Project Idea I have been studying machine learning in my spare time for 1.5 years and whilst the mathematics is fine for me, I was a programming novice at the beginning. I have definitely gotten better at programming on this journey but whilst I'm naturally quite good at maths I am definitely not naturally good at programming.…
- I need help with detection of patterns corresponding to (motor maps) or hexadecimal values Hi Everybody, So as in title, I am looking for library to detect given patterns, it's coresponding to motor maps but it can be anything that is written i hexadecimal pattern, so for example (0000-FFFF). I have find n-grams and markov models, Can someone suggest any other or have any experience with that? or what…
- Tensorflow Tutorial -- Neural Network Architecture TensorflowI did the MNIST for ML Beginners tutorial on Tensorflow (https://www.tensorflow.org/versions/r1.1/get_started/mnist/beginners) and couldn't figure out the structure of the neural network. Is it a single neuron (a perceptron) with that many weights? Or does each weight-bias pair correspond to one node in the neural network? submitted by /u/arjundupa [link] [comments]
- Preprocessing Step for Feature Selection My database is constructed in the following manner: 60.000 data entries 1.000 features - of whom most are highly correlated target distribution: 58.000 = 0 / 2.000 = 1 I do have some questions how to proceed with the feature selection algorithm. Hopefully, you can help me out and maybe back it up with scientific…
- Are RNNs 'dead'? If so what is the current most promising direction for the problems they used to solve. I've been studying RNNs and LSTMs but I've run across articles like this https://towardsdatascience.com/the-fall-of-rnn-lstm-2d1594c74ce0 That claim they are dead and obsolete. Is this true? If so what are the best/standard replacements? There is so many different types of RNNs and RNN 'killers' I'm not sure where to start. submitted by /u/blaher123 [link] …
- accurate depiction of an RNN? Is the attached image a good representation of an RNN? Where each line has a weight (w) attached to it and the weights and bias are adjusted through backpropagation. The numbers correspond to the one hot vectors which are inputs and outputs. The arrow at top cycles back the hidden layer of the previous timestep…
- Can someone create a clear roadmap for Machine Learning Introduction ? TensorflowSuppose someone has some basic math background. How do you start with Machine Learning? For example everyone says you need the 4 basic elements to start machine learning: Linear Algebra, Calculus, Statistics and Probability. But we need specific books and specific things to focus more rather than diving too much into useless details. So for…
- Hosting a 'Deep Learning' event at my office, need help with content Hello! As the title says I've been assigned to host a Deep Learning (most likely CNN) event at my office one evening. This can be anything from watching an online course together, start a smaller project or hiring an external lecturer (or holding a lecture myself). The content should be light enough to be useful…
- Need help with implementing custom rnn on MNIST as the title suggests, i have implemented an rnn and plotted the loss graph while seeing each label, and it is jumpy, even learning doesn't seem to happen, it is an 85 line script;I used the deep learning book as reference, links: 1) the main code: https://dpaste.de/VBXi#L ; 2) helper functions: https://dpaste.de/WWwh ; any help…
- A recommendation system to recommend the best team composition(Help Needed) I'm very new to Machine Learning and as a part of learning, I've been trying to build a system that recommends the best team composition for a sports team from list of all available players. Try to think of it as a tool that would help a club team pick the best players to ensure…
- Deploy Keras neural network to Flask web service - Video Series KerasLearn how to deploy and host your machine learning model as a Flask web service, build a front end web application to access your model, and interact with your model in the browser with this video series. Part 1 - Overview Part 2 - Build your first Flask app Part 3 - Send and Receive…
- Regression analysis of image using CNN KerasHi All, I'm trying to build a CNN which will perform regression on multiple labels for a 2D monochrome image, i.e. learn and predict how the settings of how the image was taken affects the image. I'm using Keras to build this and I'm getting an error about my labels not being an 2d Arrary.…
- Linear Algebra What do I need? I'm new to machine learning and I want to have good math behind me as I start so I'm trying to first learn Linear Algebra but i don't feel like what i especially need to know. I just don't know what part of Linear Algebra I need e. g. computing / inverting a 3x3 matrix…
- Calculating the Update For Variational Inference In the following notes by David Blei (Link), how do we get from eq (22) to eq (23)? I get that the differentiation goes inside the integral, but shouldn't the output be integrated against dz(k) after we differentiate it ? submitted by /u/SketcherRit [link] [comments]
- twiiter sentiment analysis, Can anybody tell me my mistake in the error I am getting?? E:pythonTwitter-Sentiment-Analysis>python main.py Enter Keyword/Tag to search about: rahul Enter how many tweets to search: 3333 Traceback (most recent call last): File "main.py", line 146, in <module> sa.DownloadData() File "main.py", line 48, in DownloadData for tweet in self.tweets: File "C:UsersShivam PandeyAppDataLocalProgramsPythonPython36-32libsite-packagestweepycursor.py", line 49, in __next__ return self.next() File "C:UsersShivam PandeyAppDataLocalProgramsPythonPython36-32libsite-packagestweepycursor.py", line 197, in next self.current_page =…
- Advice to a beginner in Machine Learning? Hi guys, i'm a medical student who always liked programming but never had the courage to start. I had it recently and i'm loving, but i'm still kinda lost. First, i did a an extense Python course which was pretty good. Then, i did Strang's Algebra Linear Course and Duke's Statitics course to improve my…
- First research papers I have now read some calculus and other math fields, and I think my knowlegde is now reached a level that i could comprehend a research paper. What research papers would you recommend ? submitted by /u/Alakolmiomatriisi [link] [comments]
- Transfer Learning with Supervised Models? So I was curious if it was possible to do something like transfer learning w/ slightly different datasets, but in general similar features. Or is transfer learning mainly something to for unsupervised models? Thanks in advance! submitted by /u/I_Ekos [link] [comments]
- List of AI/ML online courses This article lists approximately 20 online courses related to AI and machine learning (here). Also mentions some courses on mathematics for AI learners. The courses are mostly MOOCs and other video courses, many of them can be accessed for free. submitted by /u/EduGuy33 [link] [comments]
- A Neural Network in 11 lines of Python: very helpful submitted by /u/swensun [link] [comments]
- Training a Simple Binary Classifier Using Logistic Regression submitted by /u/lord-bazooka [link] [comments]
- Updating weights after backpropagration in neural networks I'm starting to study neural networks, and I read that that weights are updated only after the partial derivative of all weights (in all layers) are evaluated using backpropagation. My question is - isn't that problematic considering that the partial derivative of every weight is dependent on the value of the weight of future layers?…
- Forward looking statements on customer engagement enabled by Artificial Intelligence submitted by /u/imtellnew [link] [comments]
- Study Related Hi. I want to start studying Machine learning as I believe it's the best field of study. However I have been overwhelmed by the amount of information on the web and so I can't decide how and from where should I start. I have a 3 year experience in C++ coding and I will start…
- How to use numpy.log for image classification?I've noticed in github the posted assignments for deeplearning.ai logistic regression they just directly implemented the cost function with numpy.log and that works somehow? As in : cost=np.sum(-ynp.log(a) - (1-y)np.log(1-a)) How are they dodging np.log(very small # ~= np.log(0) = -Inf? (np.log turns small #s to 0 even if they're not 0) I can't implement…
- How does Feature Scaling speed up Gradient DescentSearch up feature scaling andrew ng then look at images. Can't link it. Why can't you step more "directly" towards the global minimum in skinny countours than with rounder contours? submitted by /u/VentoAureoGoldenWind [link] [comments]
- What [ML Algorithm] to choose for many Timestamp features that spans multiple days?I’ve a data set with many Timestamp features like: Employee duty report time Employee duty release time Employee work start time Employee work end time Employee rest start time Employee rest end time, etc We currently have a Java application that uses this data to tell if it is legal for an employee to work…
- GloVe and sentence comparison?So I'm trying to make a similar sentence finder using GloVe. It works very well if I set an x and y axis: https://lamyiowce.github.io/word2viz/ But that's not really what I'm trying to do. I'm just starting machine learning, so is this the way I'd go about it?: 1) Add up the words for each sentence…
- Choosing features for SVMI'm currently writing my bachelor thesis, for which I'm making a SVM. I've got a big dataset from which I have extracted a bunch of features. For all these features I have a hypothesis as for why they might be relevant. Is it customary, or obligatory, to give some sort of proof that these features…
- Reached a standstill in Andrew Ng's Courera course. I feel like I've hit a wall and I'm losing motivation... reevaluating my life decisionsI started this course 6 days ago and I've been plowing through it like an animal. I've been loving it, everything was making a lot of sense to me, I don't understand the logistics of any of the equations, but I understand them enough to implement them and to use them. Week 4 is where…
- Weekly "Math of Intelligence" Study Group Status Update/r/LML is hosting a "Math of Intelligence" study group. Please share your current progress on the courses here! Checkout this post for more information. submitted by /u/theAIJedi [link] [comments]
- Maximum likelihood as a learning tool. submitted by /u/realDevineni [link] [comments]
- Is it possible to implement machine learning models made using python in Google's flutter made android app?I've started learning google's native android app development sdk "Flutter" and I'll learn deep learning in my upcoming summer holidays , So I just want to know is it possible to implement deep learning models in flutter and if yes how?(I haven't yet started learning about deep learning and know basic python) This is just…
- Is it sentiment analysis ??I got a project from the college for this summer vacation but I am not able to understand whether it is related to sentiment analysis of something or something different. Can anybody help me identify that. The problem statement is :- Developing an algorithm for impact analysis of various publicity campaigns being undertaken by the…
- Anyone know a good CNN tutorial? Preferably python and without frameworks?Just basic python code? Sorry if this was asked here before. submitted by /u/ReasonablyBadass [link] [comments]
- if you don't know tensorflow optimizers Tensorflow submitted by /u/ady_anr [link] [comments]
- (homework) A kernel K1 maps from Rn to Rm(m>n) and is linearly separable. Given a different kernel K=K1+K2 can we still find a linear classifier?Hi. I started SVM, kernels and I started doing exercises, and got stuck very quickly. The question posted here: https://stats.stackexchange.com/q/346818/177436 I have been on this question for a long time already, and I'm sure I'm missing something. I'm trying to get rid of K2 with multiplying by 0s, but I'm stuck mainly because I never…
- Free MOOC offered by University of Helsinki submitted by /u/NahidMuz [link] [comments]
- Weekly Status Check Meeting - Share your progress, your goals, and whatever is stopping you from achieving those goals!Let's have a meeting! What have you accomplished since last week? What are your goals for next week? Do you have any blockers that need helps from the /r/LearnMachineLearning community? Don't be pressured to fill out all three questions! If you just want to celebrate your progress, just share that. If you have been planning…
- People using Sagemaker, how do you backup intermediate versions?I started using Sagemaker fairly recently. I find the lack of an option to easily backup or version control intermediate versions very frustrating. Is there any easy way to do this, since we don't have access to the actual instance running the notebook? submitted by /u/iamdeeppool [link] [comments]
- Keras fit_generator() multiprocessing help KerasI am trying to reimplement word2vec in keras, similar to how gensim works. However, mine is significantly slower, even when using larger batch sizes. So, I'm trying to learn way to improve the speed, and one thing I'm looking into is using fit_generator, and using multiprocessing = True. However, when I do this, it does…
- Performing until 7 inferences at same time submitted by /u/3droberto [link] [comments]
- Good program to label images for mask-rcnn?So I've got Mask-RCNN running, using this repo: https://github.com/matterport/Mask_RCNN and I am planning to train it on my own data. Any idea of good programs or workflows for generating training masks and bounding boxes for my own data? submitted by /u/clifgray [link] [comments]
- Question about my approach to Text Mining and Applied Machine Learning in Policies.I am a undergrad student that specialized in Machine Learning so I do have background knowledge but not a lot of real world experience. As a assignment I am to do for an interview, I was hoping if anybody can chime in on my approach to analyzing law policies. The specifics of the assignment was…
- My misunderstanding, or misleading Caffe implementation? (Backprop) CaffeI'm doing some profiling to see how batch size affects training time with Caffe (Hoping to learn about the relationship in general though, not just in one framework). My understanding of mini-batch backpropagation was that one iteration consists of doing a forward pass with batch_size number of samples, accumulating the loss, and then backpropagating once…
- Is there an algorithm which can group unlabeled data around predefined groups?Hello everyone, I am wondering if there is an algorithm I can use that will sort unlabeled data towards classification groups which I have pre-determined. Essentially, I am imagining a clustering algorithm where the data points move toward convergence instead of the group mean. I am interested in an algorithm that does this because I…
- 2-Layer Neural Network from ScratchI've been reading Ketkar's Deep Learning with Python, and the following source code gives me an error: import autograd.numpy as np import autograd.numpy.random as npr from autograd import grad import sklearn.metrics import pylab # Generate Dataset examples = 1000 features = 100 D = (npr.randn(examples, features), npr.randn(examples)) # Specify the network layer1_units = 10 layer2_units…
- Need help on kaggle competitionI have been practicing machine learning for 6 months and datasets I get are generally of form test,train and sample submission but there are some competition where there are multiple files to work with....I really need some help as soon as possible Thank you submitted by /u/revant_t [link] [comments]
- How many hours it took you to understand how its done?In ML, I'm probably at <100 hours. I can only build things at linear regression and K-means level. Its frustrating to feel like an idiot but I've decided to stop giving up. I'm asking just to predict how much left for me until I can understand the big picture (programming alone took around 1000 hour…
- How hard is this information retrieval problem?Given a question and a set of paragraphs, correctly identify the paragraph which contains the answer to the question. This comes under the field of information retrieval, and the complexity is one step below that of answer extraction which itself is a highly developed field. I used Squad dataset, modified the data representation to paragraph…
- Weekly Show-off!Show off the machine learning projects that you have been working on! Whether big or small, any projects that you have built could be shared here. submitted by /u/AutoModerator [link] [comments]
- How Can I Tune a GBM Model? [Titanic Dateset]Things I've Tried: 1. Increased nfolds from 5 to 8 2. Used up to 500 trees 3. Lowered min. observations per leaf down to 1 4. Lowered learning rate to 0.001 Thanks submitted by /u/EveningTap [link] [comments]
- Deep AutoEncoders for Collaborative Filtering submitted by /u/vector_machines [link] [comments]
- The Gates of A LSTMHi, I just wanted to confirm. Are there three or four gates to an LSTM? I've read different things from different sources, but I am trying to solidify my understanding of an LSTM and its components. I believe there are three: 1) The Forget Gate: Chooses which information to remove from the state 2) The…
- I'm lost - too many resources out thereHi friends! I'm front-end developer with 3y exp, currently also developing in Node. It's been like 2 years since I wanted to learn ML. But there are too many good resources. I really can't decide what to choose, and I don't want to miss anything. Today I saw google crash course, like 2 weeks ago…
- Dealing with different instances in reinforcement learningI’m new to reinforcement learning so maybe I’m missing out on some core understanding. But say, for example, I wanted to teach an AI to play a card game where 20 of 52 cards are randomly seeded. How would I represent the state of multiple games where there can be any 20 of 52 cards?…
- Weekly Local Machine Learning Scenes: What's happening around your area?Share machine-learning-related activities (events, meetups, workshops, demos, or talks) that's happening near you. While our LML community has its base online and has its own benefits, it could be helpful to network and learn from other local machine learning aficionados. Please make sure you include the details such as time and date if necessary. …
- Machine Learning Crash Course by Google submitted by /u/Beefin [link] [comments]
- Am I too stupid for machine learning? TensorflowI just started with the book Hands-On Machine Learning with Scikit-Learn & Tensorflow and am completely unable to understand what the author is trying to say. Pretty much after chapter one I was just like "Huh? What's going on here?". Did anyone have similar problems and can you recommend any softer starter books for machine…
- Too much training data a problem for GANs?I'm trying to train my conditional WGAN-GP on a dataset and I see that it trains better on a reduced subset of the images than on the full dataset. They have similar performances after each epoch but the training with larger dataset takes much longer (many more batch trainings of the generator and discriminator per…
- Understanding connections and parameter counts in the RNN keras model Keras submitted by /u/yolorn [link] [comments]
- Machine Learning Crash Course by Google submitted by /u/Bizkitgto [link] [comments]
- Basics of Image Classification with PyTorch PyTorch submitted by /u/jamesonatfritz [link] [comments]
- One of the best explanation of back-prop and meta-learning I have ever seen submitted by /u/sparkboyml [link] [comments]
- Can someone please ELI5 this video? Its from Udacity's Artificial Intelligence for Robotics Course. xpost from r/computervision submitted by /u/jasserhere [link] [comments]
- Implementing Knn on CifarI am having a difficulty in implementing KNN using python. I am not using any library functions I am building from scratch. I have computed the L2 norm of my training data set. Now I am having trouble finding k nearest neighbours. According to my understanding now I have to find k-nearest neighbours for every…
- ML Model predicting values at different scalesI'm building a regression model where depending on one boolean flag the results are separated by a rate of 500 to 2000. While I could train two models, I'd like to do it in a single one. I thought about simply scaling the lower values by a rate of say 1000 but I'm also interested…
- Tensorflow Tutorial -- Neural Network Structure TensorflowI did the MNIST for ML Beginners tutorial on Tensorflow (https://www.tensorflow.org/versions/r1.1/get_started/mnist/beginners) and couldn't figure out the structure of the neural network. Is it a single neuron (a perceptron) with that many weights? Or does each weight-bias pair correspond to one node in the neural network? submitted by /u/arjundupa [link] [comments]
- Advanced ML coursesI have studied an introductory course to ML in college that basically gave us a broad understanding behind the theory of most ML algorithms. I would presume that it would be the equivalent level of the likes of Coursera's well known ML course. Is there any recommended online courses that go into a more advanced…
- Recommended value for K.epsilon() KerasHi everyone! I've been playing around with Keras and it's awesome. However, I had some problems figuring out why I got different results for some images... After a while I found out that the difference is due to the selected K.epsilon(), which is 1e-7 by default. I use this value when I need to divide…
- Some QuestionsFrom Andrew Ng's DL course pt. 2: Improving NN he said there's no longer a tradeoff in bias and variance. Did I understand that properly? You know that graph about bias and variance at google where lowering bias mean high variance and you can't have both. Is he saying that picture is obsolete and we…
- Is there any resource I can use to learn which one of the popular loss functions to apply to different kinds of problems?What I found with a quick google search was too sophisticated for me. Is there anything that succinctly states which popular loss functions (mse,crossentropy,etc.) to use for certain kinds of problems? submitted by /u/swegmesterflex [link] [comments]

Machine Learning

- [D] Visualizing simplified whitening I just tried out the Simplified Whitening as mentioned in this post. But the normalized image I get seems to have lost a LOT of information. It's barely visible at all. Here's the processed image and here's the original image. Here's the code that I wrote for this. Any help in understanding this would be…
- [P] Visual Search engine with MXNet and HNSW - x-post r/mxnet submitted by /u/thomasdlt [link] [comments]
- [R] AI Taught to Synthesize Materials submitted by /u/DIY_surgery [link] [comments]
- [D] Cross Entropy – Machine Learning Basics submitted by /u/pandeykartikey [link] [comments]
- [N] SingularityNET and AI Decentralized Create New Industry Group: the Decentralized AI Alliance submitted by /u/ibbybenali [link] [comments]
- [D] Ethics: Pattern-of-life analysis from bulk DNR metadata, in support of constellation of hunter/killer drones. A threat or a possibility? submitted by /u/lintujen_sukulainen [link] [comments]
- [D] Can't get anywhere close to the IS/FID reported as the state-of-the-art in CIFAR-10 for any GAN using PyTorch. PyTorch TensorflowSo I created a new GAN loss which is super neat mathematically/intuitively, very stable and doesn't need gradient penalty. I want to compare it to other approaches but whatever GAN loss, hyperparameter or model architecture I use, I can never get even close to the IS and FID values reported in papers for CIFAR-10, which…
- [D] NLP word representations and the Wittgenstein philosophy of language submitted by /u/perone [link] [comments]
- [N] Neurochips from the 90s submitted by /u/gfursin [link] [comments]
- [D] Paper notes: Inductive Representation Learning on Large Graphs (GraphSAGE) submitted by /u/dtsbourg [link] [comments]
- [R] Adding One Neuron Can Eliminate All Bad Local Minima submitted by /u/blowjobtransistor [link] [comments]
- [R] Sparse and Constrained Attention for Neural Machine Translation (ACL 2018) submitted by /u/ofirpress [link] [comments]
- [P] [x-post from r/computervision] Online camera calibration pattern generator submitted by /u/calib-io [link] [comments]
- [R] A Universal Music Translation Network submitted by /u/pablo_gomez [link] [comments]
- [R] Implicit Reparameterization Gradients submitted by /u/hardmaru [link] [comments]
- [D] Approximating smooth functions with NN using only ReLU? Makes no sense Intuitively I don't see how you can approximate any function with a neural network of finite depth/width using only ReLU since it's just a piece-wise linear function. Am I missing something? Seems like all ReLU does is make a piecewise linear decision boundary rather than a smooth curved one. The ReLU has bothered me for…
- [R] Self-Attention Generative Adversarial Networks submitted by /u/baylearn [link] [comments]
- [D] Is Deep Learning here to stay? Or will it be irrelevant soon? Just wondering if there are new ML algorithms on the horizon that could dethrone DL in the next 5-10 years. ML ideas seem to come and go fairly quickly, so I'm wondering if DL will just be another victim of this fast cycle. submitted by /u/ME_PhD [link] [comments]
- [D] Article I wrote on using AI for experiential advertising - very high level thoughts submitted by /u/laserpilot [link] [comments]
- [D] The constant barrage of awesome-looking AI results can induce panic in researchers. How can you keep up, let alone compete? submitted by /u/baylearn [link] [comments]
- [P] 3D Printed Robot Cat learns to walk with Genetic Algorithm submitted by /u/Hartvik [link] [comments]
- [D] Given the lowest float[][] layer of a RBM, and lacking the data it was trained on, what function best estimates how well it was trained? Example: https://corpocrat.com/wp-content/uploads/2014/10/mnistrbm.png are featureVectors trained on visual data. A common visual data is mnist ocr (nonconvolutionally), but it could be any kind of data. My attempt at answering this question is, for each node in second node layer, viewing edges downward to first node layer, there exists some 2 subsets (to first node layer) where…
- [R] Removing activation from discriminator output layer in GAN to allow use of L1 loss. submitted by /u/underPanther [link] [comments]
- [P] Training a Text-Generating Neural Network for Free submitted by /u/minimaxir [link] [comments]
- [R] Learning to Optimize Tensor Programs submitted by /u/antinucleon [link] [comments]
- [D] Understanding "Attend, Infer, Repeat: Fast Scene Understanding with Generative Models" paper I am trying to implement the Attend, Infer, Repeat paper. I have some troubles in understanding the Score Function estimation (REINFORCE) used in the paper for estimating the gradients for the discrete probability distribution. This blog post, along with the implementation is of much help but I couldn't follow the part where the "neural baselines"…
- [N][LIVESTREAM] AiDecentralized + Topics & Schedule - SingularityNET submitted by /u/ibbybenali [link] [comments]
- [R] New Newton solver beats SGD and Adam for large models on ImageNet/CIFAR submitted by /u/brainggear [link] [comments]
- [P] Hierarchical Neural Story Generation submitted by /u/steuhh [link] [comments]
- [D] Applying OpenAI Baselines to anything other than Atari Games possible? This is a genuine question! If you look into the code, you'll find they are calling properties on the observation space variables that are passed into the learners that don't exist. I am trying to do policysearch with a dict based observationspace. Nothing suggests that wouldn't be possible. Except for the fact that they call…
- [D] How impactful could the choice of the Optimizer in NN be ? KerasHi, I was training a simple fully connected NN recently (on keras), and was stuck at a certain accuracy (45%) using SGD. But as soon as I changed it to Adam the loss started dropping drastically and the performance went way up (~70% accuracy). I always thought optimizer choice would only help accelerate training a…
- [D] Training a Simple Binary Classifier Using Logistic Regression submitted by /u/lord-bazooka [link] [comments]
- [D] Hinton: Multi-layer neural networks should never been called MLPs submitted by /u/phizaz [link] [comments]
- [D] If you like youtube channel two minutes papers then you will like... submitted by /u/begooboi [link] [comments]
- [P] GAN Anime Blockchain submitted by /u/chisai_mikan [link] [comments]
- [D] An overview of semantic image segmentation. submitted by /u/jremsj [link] [comments]
- [P] Deploy Keras Neural Network to Flask web service - Video series KerasLearn how to deploy and host your machine learning model as a Flask web service, build a front end web application to access your model, and interact with your model in the browser with this video series. Part 1 - Overview Part 2 - Build your first Flask app Part 3 - Send and Receive…
- [N] Snap ML - An IBM framework for all machine learning, except deep learning submitted by /u/MessyML [link] [comments]
- [N] Ben Goertzel at AiDecentralized - Topics & Schedule submitted by /u/ibbybenali [link] [comments]
- [R] Solving the Rubik's Cube Without Human Knowledge submitted by /u/mcaleste [link] [comments]
- [P] Generative Ramen submitted by /u/wei_jok [link] [comments]
- [Research] Researchers create NN to remove noise from photos and see in the dark submitted by /u/KyungSun [link] [comments]
- [D] Distillation from teacher model's prediction error? A friend described a following model they used for a classification problem: 1. Train the teacher model f(x) on ground truth label y 2. Train the student model g(x) on f(x) - y, with features that not used in f(x). Acquired g(x) will be a model that's independent to features used in f(x) Intuitively the…
- [P] Building a Simple Self-Driving Car Simulator submitted by /u/hardmaru [link] [comments]
- [R] Exploration in RL: Workshop @ ICML 2018 submitted by /u/b_eysenbach [link] [comments]
- [R] Towards Robust Neural Machine Translation (ACL 2018) submitted by /u/ofirpress [link] [comments]
- [D] Simple to use library for black box optimization of neuronal network weights Keras TensorflowI am trying to optimize an agent in a simple simulation. For now, I do not want the agent to take the current state into consideration. Instead, it should just react to the environment. My idea is to model the agent as a neuronal network. The simulation results in a score, which I want to…
- [R] Polyphonic Pitch Tracking with Deep Layered Learning submitted by /u/AElowsson [link] [comments]
- [D] Neural Network for Analyzing Driving Data The Problem I'm starting a project to analyze driving risk based on a sequence of waypoints that represent a vehicle's path. The waypoints are 1 minute apart, but I'm building another training set with shorter intervals for a future test run. The amount of waypoints per driving period is highly variable since some trips are…
- [D] GANs, capacity, and the generalization problem GANs are formulated as a game between two networks that compete to reach Nash equilibrium. There's a discriminator, D, which attempts to distinguish between real and fake data, and a generator, G, that attempts to trick D. Data is labeled as synthetic or real, D is trained to minimize the NLL of the labeled data,…
- [P] RL Elevator Challenge submitted by /u/_sshin_ [link] [comments]
- [P]Machine Learning Open Source of the Month (v.May 2018) submitted by /u/kumeralex [link] [comments]
- [R] Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum (ACL 2018) submitted by /u/ofirpress [link] [comments]
- [D] Please help me find this mathematical paper / blog post about RL At some point 1 or 2 years ago I somehow stumbled upon a blog post about RL where he wrote that he read a paper a few days ago, summarized it and that he had some new idea about that paper. Since I had exams coming up I thought I'd read it later and then…
- [D] Email data set for sentiment analysis demos Hi there, Does anyone know of any large email data sets (that are not Enron) hopefully something over the last few years or so. We are trying to work on different platforms to test their sentiment analysis. We found with the Enron emails that they were not a good enough set probably due to age…
- [D] Rules of Machine Learning: | Machine Learning Rules | Google Developers submitted by /u/sksq9 [link] [comments]
- [N] Machine Learning Online Training by Kernel submitted by /u/kernel77 [link] [comments]
- [D] What product(s) services(s) do you (or your company) currently PAY for your machine learning workflow?Data wrangling, software plugins, etc. Contrary, what are the best FREE product(s) services(s) for your machine learning workflow? Is there a tool you wish existed that you cannot find? submitted by /u/MessyML [link] [comments]
- [D] What do you wish you did in college as an undergraduate?Any advice for a senior stats major? submitted by /u/sugarhilldt2 [link] [comments]
- [R] ICML 2018 Accepted Papers submitted by /u/anishathalye [link] [comments]
- [P] Independently Recurrent Neural Networks submitted by /u/downtownslim [link] [comments]
- [Discussion] Is learning ML really worth it?Hello guys. I am currently a student and i am learning basic conecepts of machine learning at my spare time. As you may have noticed, there are already some tools that do most of the machine learning work, like rapid miner. Soon, Google's autoML is going to come out too. My questions are: is it…
- [D] Reinforcement Learning - Markov Decision Process submitted by /u/OneRaynyDay [link] [comments]
- [D] ML in Computer GraphicsI know Computer Graphics sounds very broad, but I'm new to the field and I've always had a passion of working with CG. By ML in CG I mean the core stuff like rendering and not just Computer Vision. How ML can be used to improve CG How can ML speed up the rendering process…
- [P] Writing my IB Extended Essay on an aspect of Machine Learning, and was looking for idea inspiration.I've had a fair amount of experience in the field, and should be able to manage investigating elements of Machine Learning. A friend of mine who scored very well evaluated the performance of Stochastic Gradient Descent in comparison to L-BFGS. I did consider something along the lines of evaluating the utilization of large convolutions in…
- [D] CUDA Intro to Parallel Programming on UdacityThe course is no longer available on Udacity. Is there any link to all the videos? The youtube playlist only has clips not the full content. Or any other good course on CUDA? submitted by /u/Sherbhy [link] [comments]
- [D] What are some non-trivial but achievable exercises in reinforcement learning?I'm going to be doing some work on reinforcement learning in the near future, and I'd like to get myself up to speed on the ideas involved. I'm looking for some exercises that will help me to learn the basics: kind of like sorting algorithms are to basic programming, or MNIST with logistic regression is…
- [D] Long-term Text-Recognition?I'm working with OCR on images, where some lines may interact (mean that information from one line may be useful in another, example: prices of products at receipt vs total_price). https://upload.wikimedia.org/wikipedia/commons/thumb/0/0b/ReceiptSwiss.jpg/800px-ReceiptSwiss.jpg Currently I treat each line independently (I use Seq2Seq model, where input are images), so I use Text-Detection then Text-Recognition line-by-line. What do you…
- [R] Time Series Prediction tips? Keras TensorflowHi all, I'm doing research with some signals and I'd like to make some predictions based on some signals I have. 1) These are of unequal length. 2) They are three dimensional. There are three sensors that measure the same activity. 3) There are two labels per sequence. Each sequence corresponds to two values, say…
- [D] Sharing an awesome visualiser: Netron by lutzroeder Caffe Keras TensorflowI've come across Netron (github: https://github.com/lutzroeder/Netron), a really awesome tool that can visualise the structure of models from a wide variety of formats: ONNX, Keras, CoreML, TensorFlow, Caffe etc. A couple of friends and I found really useful, and people don't seem to know it exists, so I'm just sharing it here! Have a nice…
- [R] Google Clips: a lifelogging camera with automatic selection of interesting video snippets using on-device NN trained by 50m human pairwise comparisons & 100s-way CNN categorization submitted by /u/gwern [link] [comments]
- [D] How Judea Pearl Became One of AI's Sharpest Critics submitted by /u/wei_jok [link] [comments]
- [D] "A.I. Is Harder Than You Think" (Gary Marcus again ...) submitted by /u/baylearn [link] [comments]
- [D] Relationship between Deep Learning Network Depth and Dataset sizeSo I have pulled Bankos and Brill’s “Scaling to Very Very Large Corpora for Natural Language Disambiguation” which studies the effects of data size on machine learning for natural language disambiguation. It has a very nice figure 1 where it shows that as the # of words scales from a million to the thousands of…
- [D] Does anyone know a paper/article about using Resnet/DenseNet/Inception in reinforcement learning? submitted by /u/VastTemperature [link] [comments]
- [D] (data request) Is there a disgusting data set?I am searching for a Dataset with disgusting images, appetizing images or otherwise emotion inducing pictures with great diversity. Is there something like that in the wild? submitted by /u/fimari [link] [comments]
- [D] ML/Data Science Project StructureIn my job, I perform basic analysis of health data sets for surveillance and reporting. I work mostly in Python, and I generally find Jupyter Notebooks to be a convenient way to both perform and document my analysis. Recently, I've been learning to perform more sophisticated analyses, and I'm starting to dabble in machine learning…
- [D]Rectangle Minimize error AdaBoost with PythonI have this problem where I need to find the error for each round out of 8 I have the code for the adaboost algorithm , thing is I fail to understand what to do with the Rectangle function , I guess it is suppose to be some kind of replacement for decision tree? ,…
- [Discussion] Some questions about model quantization TensorflowJust read a page about model quantization in TF: https://www.tensorflow.org/versions/r1.3/performance/quantization#why_quantize In my imagination, model quantization is supposed to be combined with low precision floating points operations. But seems like, during inference phase, the feature maps are still under full precision. The quantization is totally about better GPU cache utilization and reducing communication bandwidth. Totally unrelated…
- [R] Where are the latest JMLR papers?The last paper listed at http://www.jmlr.org/papers/ was published in January 2018. Is there any newer edition of the journal? submitted by /u/riel234 [link] [comments]
- [N] Tesla's Lethal Autopilot Crash — A Failing of UI as Much as AI submitted by /u/regalalgorithm [link] [comments]
- [R] Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context (ACL 2018) submitted by /u/ofirpress [link] [comments]
- [D] Best Machine Learning Podcasts? TensorflowI am currently trying to do something like Mari/o and just wondered if anyone had any great podcasts I could listen to that could help develop my understanding of Tensorflow/Python/DQN and etc. Thanks in advance :) submitted by /u/lightntangy23 [link] [comments]
- [P] Introducing Sagify: Train and deploy Machine Learning/Deep Learning models on AWS SageMaker in a few simple steps submitted by /u/pm3310 [link] [comments]
- [R] AI tool controls people in videos - Deep Video Portraits - SIGGRAPH 2018 submitted by /u/NicoleK1993 [link] [comments]
- [P] Request for help: reproducing result from "DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING" PyTorchI am trying to reproduced result from the paper "DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING" (https://arxiv.org/abs/1611.01604). I have implemented the code in pytorch but it is overfitting. I used https://github.com/abisee/cs224n-win18-squad for data processing and batch generation. In the paper it is mention that the authors use dropout for regularization. I added dropout and it helps…
- [D] Would we still have discovered neural networks if not for the brain providing a working example to inspire us?Say the human mind worked exactly the same as far as all our mental processes are concerned, except it didn't use a physical process we could turn into an algorithm. Like if instead of having physical brains, we had...I guess the traditional idea of an immaterial soul provides a good hypothetical—and all our thoughts and…
- [N] Mathematics for Machine Learning submitted by /u/upulbandara [link] [comments]
- [D] GUI tools for data manipulation for machine learning?Hey guys, I am aware of several awesome Python libraries that allow me to do image manipulation, cropping, etc. to prepare my data for training input to Neural Nets. Are you aware of nice looking tools with a graphical interface specifically for the purpose of data preprocessing (resize, crop, brightness) and manipulation (say, assign classes…
- [R] (NIPS 2015) Machine Learning in Computational Biology submitted by /u/kal00ma [link] [comments]
- [D] Explaining 8k submissionsWhat is the main source of this increase in NIPS submissions? i) NIPS community doubled, ii) Researchers are sending more of their papers to NIPS, iii) Botting. submitted by /u/ecstasyogold [link] [comments]
- [Discussion] How was NIPS 2018?With submissions finally closed, what was everyone's experience up to the deadline and how is everyone feeling? submitted by /u/faush2 [link] [comments]
- [D] Apaprently, NIPS this year has close to 8000 submissions, a 2.5x increase from last year submitted by /u/yodaman92 [link] [comments]
- [D] In text normalization, how do you handle case like non-spaced words using ML models?Example: notalotofcars in the ciy --> not a lot of cars in the city. ciy is 1 edit distance way to city. notalotofcars can be fed to Seq2Seq, but how will it handle the case that it has never seen? Example: lackthetrucks --> Lack the trucks submitted by /u/spiritualAsshole [link] [comments]
- [D] Advice for ML salary in UKHi all, As I am getting near the end of my PhD program in UK, approaching graduation, I am starting to look for employment opportunities either in industry or academia. While I am already familiar to some extend to what should I expect from the later, it is unclear to me of how things are…
- [Project] Super Marios Bros. - NES - World 1-1 - Automated Level MApper (ALMA) submitted by /u/BZH314 [link] [comments]
- [R] To Build Truly Intelligent Machines, Teach Them Cause and Effect submitted by /u/downtownslim [link] [comments]
- [D] Unitary RNN doubtHow does Unitary RNN preserve the hidden vector norm? I understand how it maintains the norm of the gradient of hidden state at time step t with respect to hidden state at time step t-i, using RELU as non-linearity. However, maintaining the norm of the hidden vector would require input and the bias to be…
- [D] Neural Networks and Time TravelOK here is a crazy theory I have: Neural Networks are one way to model the space-time continuum. As seen in fiction movies, when a super hero travels back in time, they have the responsibility of making sure not to make the slightest modification to the space-time continuum otherwise the series of events to follow…
- [N] Call for papers: iMIMIC - Workshop on Interpretability of Machine Intelligence in Medical Image Computing @ MICCAIWe would like to invite you to submit your contributions to the Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at the 2018 MICCAI conference in Granada. iMIMIC is a half-day workshop to be held on September 16th, 2018. The program features two excellent keynote speakers as well as oral presentations from…
- [N] Announcing MXBoard — MXNet Data Visualizations directly in TensorBoard - x-post r/mxnet submitted by /u/thomasdlt [link] [comments]
- [D] How do you study from textbooks?Reading every word and doing every exercise is not time effective. Some chapters may also not be relevant to your research in more advanced topics. Interested to hear how people strike a balance when deciding which exercise to do, which chapters to skip and still not feel lost in future chapters, etc. Edit: First, thank…
- [P] Having trouble reading .nii files! + some general tips requested Keras TensorflowHey! I'm currently doing my Thesis in Medical Image Segmentation and I have some .nii's from the LiTS (liver) dataset to work on, using Keras with Tensorflow backend. I studied and understand the theory behind Machine and Deep Learning, CNN's, and general image segmentation by feature extraction, and I though this would be a good…
- [R] A polish afro trap song about Demis Hassabis. submitted by /u/jakn [link] [comments]
- [D] Understanding Back-Propagation and Meta-Learning submitted by /u/sparkboyml [link] [comments]
- [D] If you had to show one paper to someone to show that machine learning is beautiful, what would you choose? (assuming they're equipped to understand it) submitted by /u/MTGTraner [link] [comments]
- [R] Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data submitted by /u/hiconcep [link] [comments]
- [P] Auto diff of actual tensor operations (i.e. convolution) submitted by /u/melvinzzz [link] [comments]
- [P] ML Compiled - Quick Notes on a Ton of Machine Learning Topics submitted by /u/chsjr [link] [comments]
- [D] Bloomberg interview with DL godfathers + Justin Trudeau submitted by /u/wei_jok [link] [comments]
- [D] Understanding Deep Learning for Object Detection submitted by /u/hardmaru [link] [comments]
- [D] Uh, Did Google Fake Its Big A.I. Demo? submitted by /u/phobrain [link] [comments]
- [R] Predicting backchannels like "yeah", "right", "uh-huh" in conversational speech using LSTMs submitted by /u/tehdog [link] [comments]
- [D] Why are there so many deep learning frameworks? (annoying)I'm new to ML and after a few months I'm still coming across new DL frameworks. Why do a lot of people keep feeling they need to write their own? I'm from Mech E and it reminds me of the 3D printer craze a few years ago - there were 100+ Kickstarters on "new" 3D…
- [R] [1710.10121] Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations submitted by /u/bobchennan [link] [comments]
- [R](NIPS 2018) Yoav Goldberg: yup. It's "peer review", not "person who did 5 TensorFlow tutorials review" Tensorflow submitted by /u/ExcitingDouble [link] [comments]
- [P] Reinforcement learning with musculoskeletal models submitted by /u/kidzik [link] [comments]
- [R][1805.06370] Progress & Compress: A scalable framework for continual learning [DeepMind] submitted by /u/evc123 [link] [comments]
- [D] Do anonymous GitHub submissions make reviewers happier all the time?I am thinking of hosting an anonymous GitHub profile and put my code there for reviewers to take a look. I am concerned about one thing: If some excited grad student is reviewing, I don't want them going there and trying to understand and question every line. It would negate the purpose. In general, How…
- [D] what to do when the better fitting model is less useful?I'd love some suggestions here! I'm newer to ml so apologies if my question isn't as clear as it could be. My situation - I have 5 study variables and ~7 noise variables, and a continuous count Y variable. I'm building models where I don't use them to predict, I just need to know the…
- [P] g2p: English Grapheme To Phoneme Conversion submitted by /u/longinglove [link] [comments]
- [D] Deep Q-network training processI've found an interesting detail in the DQN paper, where the authors perform the Q-learning algorithm, but only update the model that generates the target values every C mini-batches. This is shown in the second equation of https://www.nature.com/articles/nature14236 . The authors argue that this optimizes a sequence of well-defined optimization problems. Is there any literature…
- [R] Deep Learning with Ensembles of Neocortical Microcircuits - Dr. Blake Richards submitted by /u/abstractcontrol [link] [comments]
- [P] Deep text summarization: of amazon reviews, github issues and news articles submitted by /u/tttttm [link] [comments]
- [P] AttGAN-Tensorflow Tensorflow submitted by /u/LynnHoHZL [link] [comments]
- [R] Arbitrary Facial Attribute Editing: Only Change What You Want submitted by /u/LynnHoHZL [link] [comments]
- [P] Compile neural networks into small executables submitted by /u/nadav256 [link] [comments]

ML Questions

- Feature Engineering Like probably everyone in this space, I have taken Machine Learning courses and really enjoyed them. Theoretically I understand the fundamentals of the different algorithms. Technically, I am able to pause the videos and complete the instructor's code ahead of them. All is well... Until I go out and try to actually create models…
- What does the future hold for ML jobs? In an ever changing landscape are jobs in 5 or 10 years going to look drastically different from now? The obvious answer would be "nobody knows", or "only the future will tell". I'm looking for perspectives from industry experts as to how much the industry has evolved and how drastically it can change. I am just starting Andrew Ng's Machine Learning course on Coursera but I've done plenty of research and I can infer…
- Discretizing Lab color space I was going though the paper https://arxiv.org/abs/1603.08511 and they have discretized a, b (at L = 50) into 313 bins. They mention a uniform grid size of 10. How are the in-gamut bins calculated? The number of bins (at L = 50) with valid RGB values is far less than 313. submitted by …
- Where can I get a brief recap of all/majority of the ML algorithms in one place? Any article or anything? submitted by /u/ZER_0_NE [link] [comments]
- Unsupervised Feature Selection Can anyone point me to a good implementation of an algorithm that does unsupervised feature selection to identify which are the important features in a dataset by using linear non-linear information among features. For eg. If a company has 200 metrics across which it has to find cluster of subscribers or do further analysis to…
- training on one hot representation of a feature, but predicting on probability distribution? is this a valid approximation to make? example: predicting number of ice creams sold with weather-type as categorical input ([sunny, rainy, cloudy, snowy]) for training purposes I would know the weather so would always have [0, 1, 0, 0] style inputs. however if I want to predict how many ice creams I would sell tomorrow,…
- Could someone explain to me how back-prop is done for the generator in a GAN ? I'm not very familiar with neural networks, however, I though I understood the concept of back propagation as starting from the error in the output layer. Say, we have 3 neurons in the output layer and their respective values end up being: [1 0.5 0.3] And we wished to obtain values [0 1 0] So…
- Various way of initializing neural network weights TensorflowWhat are some way of initializing neural network weights on a fully connected network? Beside the usual random , Xavier , normal distribution from tensorflow ? submitted by /u/SerkSerk [link] [comments]
- Backpropagation question - look at first comment submitted by /u/MLbeginner96 [link] [comments]
- How to observe a vanilla RNN Cell Andrew Karparthy mentions cells of RNNs in https://youtu.be/iX5V1WpxxkY?t=29m51s. I was wondering how a Cell would look like and how the process of observing it actually works. In my current understanding you would just take a particular time step. (For instance t=3) and check the output activation of the time step with respect to a specific…
- Efficient classification method for categorical nominal output variable? [R] I have a high-dimensional (about 260 variables, n~1300) data from a survey. I want to predict type of town/province, which in a person lives in based on other survey responses. Output variable is a factor with 5 levels – big town, small town etc. My question is: which classification methods are the best for this…
- Having trouble designing neural network to do simple bivariate classification KerasI generated an n=1000 dataset of 2-tuples (X1, X2) where both Xi are integers uniformly distributed on [0, 7]. I then created the class labels Y where Y=1 iff X1>3 and X2>3 (ie, the classes are balanced). Ie, this is actually a convex optimization problem (my sigmoid output layer is logistic regression), and I'm confused…
- Best small companies doing machine learning? What are the most promising startups doing machine learning? submitted by /u/MessyML [link] [comments]
- Keras: Extracting features from date columns KerasI'd like to know how to extract features from a date column. I'm trying to classify columns, using Keras and I need to define date column features. How do I go about to split a column into multiple features? Thank you in advance. submitted by /u/Sheikh__ [link] [comments]
- Balancing fitness function in Snake I build my own NEAT neural network and I'm trying to let it learn Snake. When I reward it for food and punish it for death it continue looping forever. i punished it for looping by checking the head of the snake places in the last N turns and if it being in the same…
- Teacher forcing on validation data in hyper-parameter search, or not? If training an RNN for sequence prediction and using teacher forcing in the training process, should I also use teacher forcing for validation during hyper-param tuning, or rather free-running mode? submitted by /u/YoungStellarObject [link] [comments]
- Supervised or unsupervised learning for industry classification I have about 5k companies each with a corresponding company description. So far I have classified a couple of those companies by assigning an industry to them. Now I want to automate this tagging. Is this automated tagging more suited for supervised or unsupervised learning? submitted by /u/JLBKRD [link] [comments]
- How to interpolate in a latent space Hi ! I have trained a VAE, and I'm wondering how to "correctly" interpolate through the latent space ! I tried starting with a vector full of zeros and adding a certain constant to the i-th value while iterating over the length of the latent space, but I dont get a pretty interpolation ! Any…
- Caffe2 deployment - what are my options? Caffe Caffe2 PyTorchI have a caffe2 model to do a little sequence to sequence task, which I trained with Facebook's new pytorch translate. I would like to make this model accessible in a cloud service, so I can call it from my Android app. I previously had a model running at Google App Engine in a flex…
- GANs with an audio input and output Hey, I'm looking for references to any generative systems that use non-random audio inputs. For example taking a sound file as input and making a variation of that sound file as output. I've searched around, but the closest to this is Parallel WaveNet, which transforms white noise to speech, but that's not quite what I'm…
- Siamese vs YOLO - are they two different types of CNN? Hi All, Just wanting to clarify that I've got my head around this correctly. Are Siamese networks and YOLO algo two different types of CNN? As in would you utilise one or the other when trying to solve a classification problem? Or would a YOLO algorithm exist within a Siamese network? If different, when would…
- Run pretrained preconfigured pickeld PGGAN on CPU with Tensorflow TensorflowHi I'm trying to run the original progan with the pickled pretrained weights (karras2018iclr-celebahq-1024x1024.pkl) and the import_example.py on CPU-only but I get errors like tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for operation 'G_paper_1/Run/G_paper_1/4x4/Conv/Reshape': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0 ] Changing the config-file of the original project doesn't work,…
- Feature selection in python Hey, does anyone happen to have materials covering well explained feature selection methods with examples of implementation? Advices on how to do it in python highly appreciated. Thx! submitted by /u/dsdobra [link] [comments]
- Style Transfer approaches Hello, I just saw Sirajs Style Transfer video where he basically used 2 Losses. https://www.youtube.com/watch?v=Oex0eWoU7AQ But as far as I know you could also use a GAN. Are there advantages or disadvantages in using one of these approaches? submitted by /u/dYuno [link] [comments]
- Which features to use for predicting response times to arithmetic questions? I have a bunch of data for how long it takes people to answer arithmetic problems. There is more data for simple problems like 5 + 4, and less data for intermediate problems like 50 + 40. You might suspect these problems are very similar to each other, but how would I formulate this "suspicion"…
- Regression Model on Google Trends interest over time. I am planing to train a regression model on Google Trends interest over time for brands as keywords. The idea is to train a model to predict interest over time based on brand ads, news, new products, etc. This is for a personal project to learn more on Machine learning. I have a good background…
- Implementing KNN on cifarI am having a difficulty in implementing KNN using python. I am not using any library functions I am building from scratch. I have computed the L2 norm of my training data set. Now I am having trouble finding k nearest neighbours. According to my understanding now I have to find k-nearest neighbours for every…
- Logistic Regression symmetryI am using logistic regression (via sklearn) to predict the winner of tennis matches by classifying ranking data into 2 classes - class 1 if player 1 wins and class 0 if player 2 wins. However, I have noticed there is a fundamental flaw in using logistic regression since predicting A vs B should give…
- Best resource/course to learn machine learning maths?So I'm doing a machine learning course, and it shows me the algorithms, I have a rough idea of why it works but I want to understand on a better level than knowing when to use it. Is there a comprehensive course that teaches the maths more in depth? I was looking as "Mathematics for…
- What is Local Contrast Normalization? And how is it different from Local Response Normalization?I searched a bit and I was not able to understand it fully. Any help would be appreciated! submitted by /u/callmebyyoursurname [link] [comments]
- Number of possible Dichotomies in ClassificationSo I'm taking the (excellent) Learning From Data course, but during lecture 6 something didn't click. On slide 4 Prof. Abu-Mostafa develops an upper bound for the number of possible dichotomies in a simple classification task, assuming a break point k exists for our hypothesis. The columns represent arbitrary samplings of N points from our…
- How to approach problem of mapping wildlife tracks in imagery? Keras TheanoI want to map animal tracks in aerial imagery. How would you suggest I approach this? I am currently trying to use a CNN coded with python using Keras with theano backend. I am currently trying to first detect the tracks with binary classification - 'tracks' or 'other', where other can be absolutely anything but…
- Scaling and Deployment for Machine LearningHello. I have good knowledge about ML algorithms and i have worked on many ML projects. What I don't know however is how to deploy my programs and to scale my systems for a large number of users. Can someone tell me how i can learn that and point me to a few resources/videos of…
- Feature Scaling input and output basic questionsuppose my training data looks like input output ex1 [1,2,3] [4] ex2 [12,13,14] [15] these both are linearly dependent so they reduce down to the same thing but how do we feature scale them ? [1,2,3] -> [0, 0.5, 1] with output [1.5] (the 1.5 is the 4) or [1,2,3] -> [0, 0.33, 0.66] with…
- Integrating ML into a package with front-endHi all, I've done Stats/econometrics as my Masters so have a reasonably firm grounding for fully connected and CNN networks. I've decided to use Google's ML Cloud as the back-end for our algo however I have no idea how to develop this into a package. I'm going to start with a CNN package - let's…
- Is it possible to implement machine learning models made using python in Google's flutter made android app?I've started learning google's native android app development sdk "Flutter" and I'll learn deep learning in my upcoming summer holidays , So I just want to know is it possible to implement deep learning models in flutter and if yes how?(I haven't yet started learning about deep learning and know basic python) This is just…
- Can I get a Machine Learning job without a CS degree?I'm on my way to get a bachelor's degree in Math with a concentration in prob and stats. I changed majors from CS after my first year, but now I am really interested in Machine Learning. I would like to eventually land a career in it, but I'm worried they may want something more than…
- Gradient Descent and Neural NetworkI can't seem to get a mental picture of how neural network works during back propagation. I'll present a example scenario cause being abstract makes me confused. Suppose we have 128 samples in our dataset and a neural network with one hidden layer. Correct me if i am wrong, the following steps will be executed.…
- Must have tools for writing an effective research paper.I am trying to write my 2nd research paper. The first time was quite tedious and took a lot of time. I wish to compile and complete this paper in the best of ways. Does anyone know of any tools or something else which they use for formatting their papers. I would like to use…
- ML with a Bachelor’s degreeHi, I’m a graduating senior at a target school, and I’ve been looking for a ML job for a while now. It’s been super difficult to get my foot in the door without a MS or Ph.D, but I managed to get an internship offer for a seed startup. The idea is that I would…
- From another domain to ML, is that possible ?Hello, I am currently a PhD student in hydraulics and, with the small amount of ML I learnt, I felt pretty interested in that domain. I could probably apply it on hydraulics but I'd rather specialize in ML. So I was wondering if that'd be possible (and how?) to switch to ML after a PhD…
- Help in implementing active learning. KerasI have built a text classifier which uses an ensemble model. I want to introduce pool based sampling to improve the model further using human feedback. I am not sure how to go about implementing this. How do I do pool based sampling for ensemble models? And after I have done so, do I simply…
- How do i get a job in ML ,what should i learn?Im about to Graduate from a Reputed University in my country ,but i feel that i haven't learned anything that can get me a job ,i hav been trying to learn ML on my own but it seems pointless ,as i dont hav a clear goal in mind .How do i get a job in…
- Color or greyscale for age detection (CNN) ?Hello. I'm building a model using Convolutional Neural networks for age detection based on small pictures (200x200) cropped to contain only the face. I was wondering if a task such as regression to predict the age would require the details of the RGB values of an image or if greyscale values would be enough since…
- Training enemy AI using neural networks for a Bullet Hell gamePlanning to propose and make this game as a topic for my thesis since I was really interested in this while I saw interesting examples such as DeepMind and Mari/O which I found pretty cool. I was wondering if it was possible and how can I apply this for enemies in a bullet hell game…
- Fix age distribution. Building a model to predict age from a picture. TensorflowHello. I'm building a model, using Tensorflow, to predict the age based on a single picture of a face (picture is cropped to only contain de face). My problem : the training error doesn't go down. Of course it goes down fast in the beginning, but then it gets stuck and keep making predictions with…
- Need help selecting an appropriate model.So the input is going to be a variable number of .mol files (2-5 files) and the output also has to be a variable number of .mol files. Which model is most appropriate for this? For reference, this is what a .mol file looks like. Any advice would be greatly appreciated. submitted by …
- what kind of algorithm to use for spreadsheet containing both numerical and string data (Python scikit learn)?for example, I have miles per gallon on one column and I have type of car in another column (such as SUV, Pickup, Truck, etc.). I have a bunch of columns like this. I wanted to do a heatmap but it won't let me since I have these strings I think. Can I still use…
- My misunderstanding, or misleading Caffe implementation? (Backprop) CaffeI'm doing some profiling to see how batch size affects training time with Caffe (Hoping to learn about the relationship in general though, not just in one framework). My understanding of mini-batch backpropagation was that one iteration consists of doing a forward pass with batch_size number of samples, accumulating the loss, and then backpropagating once…
- Choosing a PyTorch approach - Classification PyTorchWe are on our second project using ML and I am trying to find an approach that looks at historical data (text, five columns in a DB) and based on the context predicts one of about twenty possible outcomes (unique integers). I'm looking at RNNs, etc., but there are so many choices. Any feedback on…
- Categorical feature selection in RI picked up some insurance data to build my portfolio. It doesn't contain the codebook since it's private data so all the features are Cat_xx or Cont_xx for categorical and continuous. 130 features in total. Removed 56 due to very low variance. And removed a few continuous due to highly colinear. I'm struggling with the…
- at what time should i update the weights?So I just implemented my first deep neural network. My question is the following: assuming I just calculated the error of the neurons in the output layer, should I first update the weights and then calculate the error of the neurons in layer [outputLayer - 1] with those updated weights, or should i calculate the…
- Online ML course as summer internship/trainingI am a student of computer science and engineering ,2nd year .I want to join a online course for summer internship/training time period .Course must have a certification and Project . Any advice is welcomed. submitted by /u/RKVIJAY [link] [comments]
- Training a model to bubble dimensions in a pdf.We just completed a project, at my job and it had be thinking of how a machine learning expert would solve this. We have around 10,000 design schematics that need to have each dimension within then bubbled and numbered sequentially. My thought process would be to use around 3000 of the already completed bubbled drawings…
- InfoGAN: can we omit the noise term z altogether?In InfoGAN, the learned representation (equivalent to the bottleneck layer of an autoencoder) is composed of two parts, z and c: z is a "noise term" and c is, we hope, an interpretable, disentangled, semantic representation. Eg in MNIST, if we pretend we don't have labels, but we know there are 10 distinct digits, we…
- Where can I find the dataset for the Kaggle's challenge Data Science Bowl 2017?Hi, could someone please tell me where I can find the the dataset for the Kaggle's challenge Data Science Bowl 2017? Because they have removed it from the kaggle's page. Thanks submitted by /u/IntelligentFear [link] [comments]
- Putting a Recurrent Neural Net on an MCU with DSPHi all, just wondering if it's even possible to do this? If so I assume I wouldn't be able to write the neural net in python - would I? This is the MCU we're looking at https://www.nxp.com/part/MK21FN1M0VMC12 submitted by /u/AndyS8911 [link] [comments]
- How can I start to develop an A.I. for a game through machine learning?I would like to try developing an A.I. for an simple games through machine learning, because eventually I would like try to do the same for more complex games, that are continuous instead of state based. submitted by /u/Tony_Sax [link] [comments]
- questions on using sigmoid as output layer for multiclass classification.hi there, I am working on the MINST dataset (in which we need to build a model to tell what digit (0-9) an input image corresponds to). I am supposed to train a neural network with 1 hidden layer whose activation function is the sigmoid in every layer. The output layer, of course, has 10…
- What kind of simple projects are possible with stock market data besides trying to predict trends?Every time I search for small projects using stock data, prediction is the only thing that come up. I'm looking for other ideas I can do with this kind of data to practice machine learning. submitted by /u/notsomeonelse [link] [comments]
- 3D Coordinates to Voxel to 3DCNNI have a list of 3D coordinates and am trying to take it to a voxel for a 3DCNN in Python. I re-orgin the coordinates around a point. Convert/round raw coordinates so that 1 voxel equal 1 original X,Y, Z coordinate. Trim down to +/- a certain dimension value in X Y and Z direction.…
- Are pretrained convolutional auto encoders a thing?I have read at least a dozen papers now that focus on a domain specific image classification task where they use VGG pretrained on image net to accomplish there task. I've never seen this done for convolutional auto encoders. Is this ever done in practice for convolutional auto encoders? If not, why not? If yes,…
- ML: How to structure my data set for algorithms?I'm pretty familiar with Python. I'm slowly learning ML and applying to my work. At work, we have a few initiatives, one of them is to analysis client deployment and configuration information. Basically, I have a list of configuration files per client. Some clients have massive amount of configuration files, and some have very little…
- Inferring saliency in computer vision tasks (classification, segmentation)I understand saliency in context of classification task, and know of four methods to compute the same. However, for sem. segmentation, how would one look at saliency/impact of effective receptive field on the segmentation model? submitted by /u/luddopenna [link] [comments]
- Interview question: How to increase speed during test on validation set?Hello guys, Yesterday during an interview one of the partners’ of the company asked me what methods I use to improve speed during test on validation set. (Not for training.) I could not give an answer, but my google search also came up with no answers as well. So I was wondering if you know…
- Need help with active learning. KerasI have built a text classifier. It uses an ensemble model. I want to introduce pool based sampling to improve the model further using human feedback. Any ideas how I could go about implement this? Also, I am using keras. submitted by /u/ISeeCrabPeople [link] [comments]

Neural Networks

- In the derivation of BPTT algorithm, is softmax function necessary? In the derivation of BPTT algorithm, lots of examples use softmax function at the output state: y_output = softmax(weight*hidden state) However, if I'm working on a task such as forecasting or text processing, I don't need softmax function to product the output. In this case, how could I derive the update equation of BPTT? Is…
- [question] If two instances of the same AI are trained with exactly the same examples in the same order, will their nodes be the same? Sup guys, Question in the title pretty much. Say you train an AI, then train a second instance of that AI not only on the same training data, but exactly the same data in the same order, will their nodes be the same? Similar? Totally different? Thanks in advance, The0thArcana submitted by /u/The0thArcana…
- Using Saliency maps in place of attention Does anyone know whether it could work better than just using soft or hard attention? Has it been tried before and with what results. Thank you. submitted by /u/utsavsing [link] [comments]
- НОТ BЕАUТIЕS WISНING LОVЕ ТНАТ'S WАIТING FОR УОU НЕRЕ. НОТ BЕАUТIЕS WISНING LОVЕ ТНАТ'S WАIТING FОR УОU НЕRЕ. --- http://redit.kdkvf.website submitted by /u/Jamwam3000 [link] [comments]
- Image stuffSo I installed this thing off of github for picture to text machine learning, and I installed all the dependencies but when I run it for training it says this: /home/mrmola/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.…
- Five Steps to TensorFlow on the Raspberry Pi Tensorflow submitted by /u/keghn [link] [comments]
- Artificial life simulation 2.0: Better, faster, stronger, .exe available for the innocent submitted by /u/Thomas-Arys [link] [comments]
- 3D Coordinates to Voxel to 3DCNNI have a list of 3D coordinates and am trying to take it to a voxel for a 3DCNN in Python. I re-orgin the coordinates around a point. Convert/round raw coordinates so that 1 voxel equal 1 original X,Y, Z coordinate. Trim down to +/- a certain dimension value in X Y and Z direction.…

NLP

- Feedback for NLP in marketing interviewI work as a data scientist doing mainly econometrics type work. Have dabbled a bit with NLP and RNNs and have been looking for something new related to NLP. I am hoping to get some feedback regarding an interview I had with an advertising company. Some questions came up during the interview I could have…
- Identifying Natural Language with 99% accuracy using Machine Learning (Python and Scikit-Learn) submitted by /u/scoobyboo [link] [comments]
- Understanding Watson personality insight outputIBM Watson personality insight service returns a JSON profile which contains lots of information, including raw_score and percentile (normalized score) for a big 5 traits (OCEAN). Official documentation says that "The service computes normalized scores by comparing the raw score for the author's text with results from a sample population" What does sample population here…
- 1 Are you interested in AI/BigData and want to start achieving your goals by learning more with Tutorials? Check out this new Subreddit, called AI Tutorials. :) submitted by /u/DiscoverAI [link] [comments]
- Stanford CoreNLP errorI'm using Windows 10 with JDK 10.0.1 for Windows x64 installed. At Stanford CoreNLP website, (https://stanfordnlp.github.io/CoreNLP/download.html) I did the following 1) downloaded 'Download CoreNLP 3.9.1' (stanford-corenlp-full-2018-02-27.zip), 'English' (stanford-english-corenlp-2018-02-27-models.jar), and 'English (KBP)' (stanford-english-kbp-corenlp-2018-02-27-models.jar) 2) unzipped the first file and put the second and third files at the unzipped folder (C:UsersJohnSmithDocumentsStanford_CoreNLPstanford-corenlp-full-2018-02-27) 3) added the above folder at…
- Converting statements to questions.I have no real experience with NLP techniques so I'm mostly wondering what the state of the art is for the following problem: Given some statement like "The color of the sky is blue". Generate one or more questions like "What color is the sky?", "What has the color blue?". Etc. submitted by …
- Here's how you can create the best chatbot for your needs and budget submitted by /u/Victor_Stakh [link] [comments]
- Review my DIY minhashingA while ago I started a project that's TIY (try it yourself) on minhashing. The whole idea is to use of-the-pypi libraries and use as much builtin types as possible. That's because the purpose of this is an easy to comprehend code that checks all requirements of a minhash implementation for a distributed system and…
- Is there a list of common text classification datasets and their current state-of-the-art model performance?Note that I'm not just looking for text classification datasets, they're available almost everywhere nowadays (the UCI ML Repo has quite a few for example). Instead, I'm looking for standard text classification datasets that have been used for classification in a number of papers and have published state-of-the-art models that I can compare my model…
- Log Files Analysis with Natural Language Processing API submitted by /u/SummarizeDev [link] [comments]
- Facebook Messenger launches translations by intelligent assistant M submitted by /u/adammathias [link] [comments]
- Facebook introduces built-in NLP for Pages submitted by /u/adammathias [link] [comments]
- List of correct English utterancesHi, do you know where can I find the most numerous list of correct English expressions consisting of two tokens? Np. "She is", "He running", "running really", "really hard", "I was" etc. Please help. Best regards submitted by /u/tadeuszjasina [link] [comments]
- Get different tenses of a word.Are there any Python libraries (Python 3.x) using which I can get different tenses of a word? Something other than NodeBox (which is for Python 2.x) and Pattern. submitted by /u/HighOnLSTM [link] [comments]
- Fountain - Natural Language Data Augmentation Tool submitted by /u/tzano [link] [comments]
- Detecting significant changes in LicensesHi all! I am trying to detect significant changes to different versions of licenses as a part of my college project. I am trying to look for resources where NLP has been used to identify and cluster changes to text documents. I am currently thinking of using something along the lines of Labelled LDA to…

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