# Machine Learning Resources Just a place where I dump ML+DL+AI stuff. # Learning ## Online courses: * [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html) * [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/) * [Stanford's Machine Learning](http://cs229.stanford.edu/) * [NVIDIA Deep Learning Course](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe) ## Resources: * Check [my blog](http://bt3gl.github.io/) :). * Feedly with [list of blogs to follow](https://raw.githubusercontent.com/bt3gl/Machine-Learning-Resources/master/ml_ai_feedly.opml). * [CreativeAI](http://www.creativeai.net/). * [Deep Learning weekly](http://www.deeplearningweekly.com/). ## Books * [Multiple View Geometry in CV](https://www.goodreads.com/book/show/18938711-multiple-view-geometry-in-computer-vision). ## Fun: * [LossFunctions.tumblr](http://lossfunctions.tumblr.com/). # Working ## Benchmarkers * [DeepBench](https://github.com/baidu-research/DeepBench).