- [How To Create A Mind] (https://www.youtube.com/watch?v=RIkxVci-R4k) by Ray Kurzweil
- [Deep Learning, Self-Taught Learning and Unsupervised Feature Learning] (https://www.youtube.com/watch?v=n1ViNeWhC24) by Andrew Ng
- [Recent Developments in Deep Learning] (https://www.youtube.com/watch?v=vShMxxqtDDs&index=3&list=PL78U8qQHXgrhP9aZraxTT5-X1RccTcUYT) by Geoff Hinton
- [The Unreasonable Effectiveness of Deep Learning] (https://www.youtube.com/watch?v=sc-KbuZqGkI) by Yann LeCun
- [Deep Learning of Representations] (https://www.youtube.com/watch?v=4xsVFLnHC_0) by Yoshua bengio
- [Principles of Hierarchical Temporal Memory] (https://www.youtube.com/watch?v=6ufPpZDmPKA) by Jeff Hawkins
- [Machine Learning Discussion Group – Deep Learning w/ Stanford AI Lab] (https://www.youtube.com/watch?v=2QJi0ArLq7s&list=PL78U8qQHXgrhP9aZraxTT5-X1RccTcUYT) by Adam Coates
Popular Andrew Ng course on machine learning, hosted by Coursera and Stanford:
- 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 by Yoshua Bengio, Ian Goodfellow and Aaron Courville (Jul 2015)
- [Neural Networks and Deep Learning] (http://neuralnetworksanddeeplearning.com/) by Michael Nielsen (Dec 2014)
- [Deep Learning] (https://www.microsoft.com/en-us/research/publication/deep-learning-methods-and-applications/) by Microsoft Research (2013)
- [Deep Learning Tutorial] (http://deeplearning.net/tutorial/deeplearning.pdf) by LISA lab, University of Montreal (Jan 6 2015)
- [Neuraltalk] (https://github.com/karpathy/neuraltalk) by Andrej Karpathy : numpy-based RNN/LSTM implementation
- [An introduction to genetic algorithms] (https://svn-d1.mpi-inf.mpg.de/AG1/MultiCoreLab/papers/ebook-fuzzy-mitchell-99.pdf)
- [Artificial Intelligence: A Modern Approach] (http://aima.cs.berkeley.edu/)
- [Deep Learning in Neural Networks: An Overview] (https://arxiv.org/pdf/1404.7828v4.pdf)