GitHub - adeshpande3/Machine-Learning-Links-And-Lessons-Learned: List of all the lessons learned, best practices, and links from my time studying machine learning

Linking pages

The Last 5 Years In Deep Learning – Adit Deshpande – Engineering at Forward | UCLA CS '19 https://adeshpande3.github.io/The-Last-5-Years-in-Deep-Learning 0 comments

Linked pages

TensorFlow http://tensorflow.org/ 440 comments
A Neural Network Playground http://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=0&networkShape=4,2&seed=0.44309&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false 236 comments
Overview - Apple Machine Learning Research https://machinelearning.apple.com 226 comments
Supervised Machine Learning: Regression and Classification | Coursera https://www.coursera.org/learn/machine-learning/ 165 comments
To Build Truly Intelligent Machines, Teach Them Cause and Effect | Quanta Magazine https://www.quantamagazine.org/to-build-truly-intelligent-machines-teach-them-cause-and-effect-20180515 160 comments
[1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe | MIT Technology Review https://www.technologyreview.com/s/602344/the-extraordinary-link-between-deep-neural-networks-and-the-nature-of-the-universe/ 127 comments
http://m.nautil.us/issue/40/learning/is-artificial-intelligence-permanently-inscrutable 127 comments
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning - Dropbox https://blogs.dropbox.com/tech/2017/04/creating-a-modern-ocr-pipeline-using-computer-vision-and-deep-learning/ 125 comments
[1701.06538] Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer https://arxiv.org/abs/1701.06538 125 comments
But what is a neural network? | Chapter 1, Deep learning - YouTube https://www.youtube.com/watch?t=279s&v=aircAruvnKk 107 comments
PyTorch http://pytorch.org/ 100 comments
Deep Reinforcement Learning Doesn't Work Yet https://www.alexirpan.com/2018/02/14/rl-hard.html 90 comments
http://parrt.cs.usfca.edu/doc/matrix-calculus/index.html 86 comments
Feature Visualization https://distill.pub/2017/feature-visualization/ 77 comments
[1412.1897] Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images http://arxiv.org/abs/1412.1897 66 comments
Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 comments
Introduction to Virtual Reality | Deep Learning with TensorFlow | Udacity Free Courses https://www.udacity.com/course/deep-learning--ud730 62 comments
Blog https://deepmind.com/blog#decoupled-neural-interfaces-using-synthetic-gradients 60 comments
Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap1.html 59 comments