- This is a collection of links, blogs, books, people and more in the fields of Deep learning, Computer Vision, and Self-Driving cars. I came across all this information in the past month due to my heightened interest in these fields. I will keep updating this whenever I find something useful. Suggestions and criticisms to organize this information for better productive processing are most welcome.
- http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/
- https://www.toptal.com/machine-learning/machine-learning-theory-an-introductory-primer
- https://learnpythonthehardway.org/
- "enki" android/iOS app
- http://neuralnetworksanddeeplearning.com/
- https://www.udacity.com/self-driving-car
- https://www.reddit.com/r/MachineLearning/
- https://reddit.com/r/deeplearning/
- http://www.mlyearning.org/ (Must read)
- http://michaelnielsen.org/
- http://karpathy.github.io/
- https://research.google.com/pubs/
- https://research.fb.com/
- https://www.microsoft.com/en-us/research/
- https://arxiv.org/
- http://www.computervisionblog.com/?m=1 (Gem in computer vision)
- https://medium.com/@awjuliani/
- http://colah.github.io/
- https://www.amazon.com/Computer-Vision-Algorithms-Applications-Science/dp/1848829345/ (computer vision)
- https://www.amazon.com/Multiple-View-Geometry-Computer-Vision/dp/0521540518 (computer vision)
- https://www.amazon.com/Probabilistic-Robotics-Intelligent-Autonomous-Agents/dp/0262201623
- http://shop.oreilly.com/product/0636920044765.do (Learning OpenCV 3)
- https://blogs.nvidia.com/blog/category/deep-learning/
- http://www.arxiv-sanity.com/
- http://www.gitxiv.com/
- https://github.com/udacity/self-driving-car/
- https://github.com/deepmind
- https://github.com/openai
- https://github.com/goodfeli
- https://github.com/karpathy
- https://github.com/llSourcell
- https://github.com/HFTrader
- https://github.com/nicolov/robotics_for_developers
- https://www.youtube.com/channel/UC0z_jCi0XWqI8awUuQRFnyw
- https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A
- https://www.youtube.com/channel/UCP7jMXSY2xbc3KCAE0MHQ-A
- https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC (CS 231n Winter 2016)
- https://twitter.com/quantombone
- https://twitter.com/AndrewYNg
- https://twitter.com/goodfellow_ian
- https://twitter.com/ankurhandos
- https://twitter.com/olivercameron
- https://twitter.com/sirajraval
- https://twitter.com/NandoDF
- https://twitter.com/ylecun
- https://twitter.com/BaiduResearch
- https://twitter.com/DeepLearningHub
- https://twitter.com/IntuitMachine
- https://twitter.com/dennybritz
- https://twitter.com/DeepMindAI
- https://twitter.com/OpenAI
- https://twitter.com/mxlearn
- https://twitter.com/karpathy
- https://medium.com/@olivercameron
- https://medium.com/@karpathy
- https://medium.com/@awjuliani
- https://medium.com/@IntuitMachine
- http://cs231n.github.io/
- https://www.udacity.com/course/intro-to-machine-learning--ud120
- https://www.udacity.com/course/deep-learning--ud730
- https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373
- http://www.robots.ox.ac.uk/~az/tutorials/
- http://graphics.cs.cmu.edu/courses/16-824-S15/schedule.html
- https://www.coursera.org/specializations/machine-learning
- https://bigdatauniversity.com/courses/deep-learning-tensorflow/
- https://nvidia.qwiklab.com/tags/Deep%20Learning
- http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html (Reinforcement Learning)
- https://www.youtube.com/watch?v=2pWv7GOvuf0 (Videos of the above course)
- https://www.cs.cmu.edu/~katef/DeepRLControlCourse/index.html (Deep Reinforcement Learning and Control CMU Spring'17)
- https://www.coursera.org/learn/neural-networks (Neural Networks for Machine Learning by Geoffrey Hinton)
- Udacity self-driving - https://nd013.udacity.com/
- Sirajology - https://wizards.herokuapp.com/