Awesome Deep Learning 
Table of Contents
Free Online Books
- Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)
- Neural Networks and Deep Learning by Michael Nielsen (Dec 2014)
- Deep Learning by Microsoft Research (2013)
- Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)
- neuraltalk by Andrej Karpathy : numpy-based RNN/LSTM implementation
- An introduction to genetic algorithms
- Artificial Intelligence: A Modern Approach
- Deep Learning in Neural Networks: An Overview
- Artificial intelligence and machine learning: Topic wise explanation
- Dive into Deep Learning - numpy based interactive Deep Learning book
Courses
- Machine Learning - Stanford by Andrew Ng in Coursera (2010-2014)
- Machine Learning - Caltech by Yaser Abu-Mostafa (2012-2014)
- Machine Learning - Carnegie Mellon by Tom Mitchell (Spring 2011)
- Neural Networks for Machine Learning by Geoffrey Hinton in Coursera (2012)
- Neural networks class by Hugo Larochelle from Université de Sherbrooke (2013)
- Deep Learning Course by CILVR lab @ NYU (2014)
- A.I - Berkeley by Dan Klein and Pieter Abbeel (2013)
- A.I - MIT by Patrick Henry Winston (2010)
- Vision and learning - computers and brains by Shimon Ullman, Tomaso Poggio, Ethan Meyers @ MIT (2013)
- Convolutional Neural Networks for Visual Recognition - Stanford by Fei-Fei Li, Andrej Karpathy (2017)
- Deep Learning for Natural Language Processing - Stanford
- Neural Networks - usherbrooke
- Machine Learning - Oxford (2014-2015)
- Deep Learning - Nvidia (2015)
- Graduate Summer School: Deep Learning, Feature Learning by Geoffrey Hinton, Yoshua Bengio, Yann LeCun, Andrew Ng, Nando de Freitas and several others @ IPAM, UCLA (2012)
- Deep Learning - Udacity/Google by Vincent Vanhoucke and Arpan Chakraborty (2016)
- Deep Learning - UWaterloo by Prof. Ali Ghodsi at University of Waterloo (2015)
- Statistical Machine Learning - CMU by Prof. Larry Wasserman
- Deep Learning Course by Yann LeCun (2016)
- Designing, Visualizing and Understanding Deep Neural Networks-UC Berkeley
- UVA Deep Learning Course MSc in Artificial Intelligence for the University of Amsterdam.
- MIT 6.S094: Deep Learning for Self-Driving Cars
- MIT 6.S191: Introduction to Deep Learning
- Berkeley CS 294: Deep Reinforcement Learning
- Keras in Motion video course
- Practical Deep Learning For Coders by Jeremy Howard - Fast.ai
- Introduction to Deep Learning by Prof. Bhiksha Raj (2017)
- AI for Everyone by Andrew Ng (2019)
- MIT Intro to Deep Learning 7 day bootcamp - A seven day bootcamp designed in MIT to introduce deep learning methods and applications (2019)
- Deep Blueberry: Deep Learning - A free five-weekend plan to self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, VAEs, GANs, DQN, A3C and more (2019)
- Spinning Up in Deep Reinforcement Learning - A free deep reinforcement learning course by OpenAI (2019)
- Deep Learning Specialization - Coursera - Breaking into AI with the best course from Andrew NG.
- [Deep Learning - UC Berkeley