Deep Learning Fundamental Reads

I’ve been wanting to compile a list of reads I’ve done to get a basic understanding of deep learning as part of my continuing learning process. Deep Learning is currently bustling at its seams in term of research activity and research papers that are being churned out everyday.

So in all this noise how to get an effective understanding in a sequential way without getting overwhelmed is the question;  

Hence, the following list of essential reads for anyone who really wants to learn the fundamentals of Deep Learning.

These papers I would say would not be the most comprehensive list of papers, but it at least starts to give you an inkling of understanding of what deep learning encompasses and what kind of problems it efficiently solves

1. A Few Useful Things to Know about Machine Learning by Pedro Domingos
2. Deep Learning by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton
3. Representation Learning: A Review and New Perspectives by Yoshua Bengio, Aaron Courville, Pascal Vincent
4. Convolutional Networks for Images, Speech and Time-Series by Yann LeCun and Yoshua Bengio
5. Learning Deep Architectures for AI by Yoshua Bengio
6. ImageNet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky, Ilya Sutskever and Geoffery Hinton
7. LSTM: A Search Space Odyssey by Klaus Greff, Rupesh K. Srivastava, Jan Koutník, Bas R. Steunebrink and Jürgen Schmidhuber
8. Distributed Representations of Words and Phrases and Their Compositionality by Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado and Jeffrey Dean
9. Recurrent Neural Network Based Language Model by Tomas Mikolov, Martin Karafiat, Lukas Burget, Jan Cernocky, Sanjeev Khudanpur
10. Sequence to Sequence Learning with Neural Networks by Ilya Sutskever, Oriol Vinyals and Quoc V. Le
11. Text Understanding from Scratch by Xiang Zhang and Yann LeCun

I would be adding to this list, As my learning and exposure on the same increases. I would also be writing on how to put some deep learning tools to solve some of the business problems for the enterprise and build some applications.