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Deep Learning List from Github (Books and Courses)

Discussion in 'Deep Learning Resources' started by self-driving, Jan 6, 2017.

  1. self-driving

    self-driving Administrator Staff Member

    Free Online Books
    1. Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)
    2. Neural Networks and Deep Learning by Michael Nielsen (Dec 2014)
    3. Deep Learning by Microsoft Research (2013)
    4. Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)
    5. neuraltalk by Andrej Karpathy : numpy-based RNN/LSTM implementation
    6. An introduction to genetic algorithms
    7. Artificial Intelligence: A Modern Approach
    8. Deep Learning in Neural Networks: An Overview
    Courses
    1. Machine Learning - Stanford by Andrew Ng in Coursera (2010-2014)
    2. Machine Learning - Caltech by Yaser Abu-Mostafa (2012-2014)
    3. Machine Learning - Carnegie Mellon by Tom Mitchell (Spring 2011)
    4. Neural Networks for Machine Learning by Geoffrey Hinton in Coursera (2012)
    5. Neural networks class by Hugo Larochelle from Université de Sherbrooke (2013)
    6. Deep Learning Course by CILVR lab @ NYU (2014)
    7. A.I - Berkeley by Dan Klein and Pieter Abbeel (2013)
    8. A.I - MIT by Patrick Henry Winston (2010)
    9. Vision and learning - computers and brains by Shimon Ullman, Tomaso Poggio, Ethan Meyers @ MIT (2013)
    10. Convolutional Neural Networks for Visual Recognition - Stanford by Fei-Fei Li, Andrej Karpathy (2015)
    11. Convolutional Neural Networks for Visual Recognition - Stanford by Fei-Fei Li, Andrej Karpathy (2016)
    12. Deep Learning for Natural Language Processing - Stanford
    13. Neural Networks - usherbrooke
    14. Machine Learning - Oxford (2014-2015)
    15. Deep Learning - Nvidia (2015)
    16. 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)
    17. Deep Learning - Udacity/Google by Vincent Vanhoucke and Arpan Chakraborty (2016)
    18. Deep Learning - UWaterloo by Prof. Ali Ghodsi at University of Waterloo (2015)
    19. Statistical Machine Learning - CMU by Prof. Larry Wasserman
    20. Deep Learning Course by Yann LeCun (2016)
    21. Bay area DL school by Andrew Ng, Yoshua Bengio, Samy Bengio, Andrej Karpathy, Richard Socher, Hugo Larochelle and many others @ Stanford, CA (2016) 20.Designing, Visualizing and Understanding Deep Neural Networks-UC Berkeley
    22. UVA Deep Learning Course MSc in Artificial Intelligence for the University of Amsterdam.


    The list is constantly being updated by Christos Christofidis at https://github.com/ChristosChristofidis/awesome-deep-learning
  2. roy89

    roy89 New Member

    There's so much free stuff available. If only I had some more spare time...

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