Deep Learning – Ian Goodfellow & Yoshua Bengio & Aaron Courville

We would like to thank those who commented on our proposal for the book and helped plan its contents and organization: Guillaume Alain, Kyunghyun Cho, Çağlar Gülçehre, David Krueger, Hugo Larochelle, Razvan Pascanu and Thomas Rohée.

We would like to thank the people who offered feedback on the content of the book itself. Some offered feedback on many chapters: Martín Abadi, Guillaume Alain, Ion Androutsopoulos, Fred Bertsch, Olexa Bilaniuk, Ufuk Can Biçici, Matko Bošnjak, John Boersma, Greg Brockman, Alexandre de Brébisson, Pierre Luc Carrier, Sarath Chandar, Pawel Chilinski, Mark Daoust, Oleg Dashevskii, Laurent Dinh, Stephan Dreseitl, Jim Fan, Miao Fan, Meire Fortunato, Frédéric Francis, Nando de Freitas, Çağlar Gülçehre, Jurgen Van Gael, Javier Alonso García, Jonathan Hunt, Gopi Jeyaram, Chingiz Kabytayev, Lukasz Kaiser, Varun Kanade, Asifullah Khan, Akiel Khan, John King, Diederik P. Kingma, Yann LeCun, Rudolf Mathey, Matías Mattamala, Abhinav Maurya, Kevin Murphy, Oleg Mürk, Roman Novak, Augustus Q. Odena, Simon Pavlik, Karl Pichotta, Eddie Pierce, Kari Pulli, Roussel Rahman, Tapani Raiko, Anurag Ranjan, Johannes Roith, Mihaela Rosca, Halis Sak, César Salgado, Grigory Sapunov, Yoshinori Sasaki, Mike Schuster, Julian Serban, Nir Shabat, Ken Shirriff, Andre Simpelo, Scott Stanley, David Sussillo, Ilya Sutskever, Carles Gelada Sáez, Graham Taylor, Valentin Tolmer, Massimiliano Tomassoli, An Tran, Shubhendu Trivedi, Alexey Umnov, Vincent Vanhoucke, Marco Visentini-Scarzanella, Martin Vita, David Warde-Farley, Dustin Webb, Kelvin Xu, Wei Xue, Ke Yang, Li Yao, Zygmunt Zając and Ozan Çağlayan.

Related posts:

Fundamentals of Deep Learning - Nikhil Bubuma
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Machine Learning with Python for everyone - Mark E.Fenner
Java Deep Learning Essentials - Yusuke Sugomori
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Introduction to Scientific Programming with Python - Joakim Sundnes
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Python - Francois Chollet
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
The hundred-page Machine Learning Book - Andriy Burkov
Amazon Machine Learning Developer Guild Version Latest
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning with Theano - Christopher Bourez
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with Hadoop - Dipayan Dev
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Introduction to Deep Learning - Eugene Charniak
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning and Neural Networks - Jeff Heaton
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Neural Networks and Deep Learning - Charu C.Aggarwal