Smriti Shyamal, Ph.D. - Deep Learning

Books

Goodfellow, Ian, Yoshua Bengio, Aaron Courville, and Yoshua Bengio. Deep learning. Vol. 1. Cambridge: MIT press, 2016.
The book is very good for starters as well as for experts. I enjoyed reading it and you should give it a try.
Graves, Alex. Supervised sequence labelling with recurrent neural networks. 2012. ISBN 9783642212703. URL http:books. google. com/books.
This book is very good to learn Recurrent Neural Networks.
Sutton, Richard S. and Barto. Andrew G. Reinforcement Learning: An Introduction.
Very descriptive book on Reinforcement learning, nice to read.
Slatkin, Brett. Effective Python. Addison-Wesley, 2015.
The book is very good for learning Python.

LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. “Deep learning.” nature 521, no. 7553 (2015): 436.
A very nice review paper on Deep Learning. It will definitely get you excited to dive into learning Deep Learning.

Silver, David, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser et al. “Mastering the game of Go with deep neural networks and tree search.” nature 529, no. 7587 (2016): 484-489.
Silver, David, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert et al. “Mastering the game of go without human knowledge.” Nature 550, no. 7676 (2017): 354.
2 papers on how Reinforcement learning based AlphaGo is able to defeat humans in the game of GO. These papers will excite you about Reinforcement learning. Go AlphaGo!