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:

Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Coding Theory - Algorithms, Architectures and Application
Introduction to Scientific Programming with Python - Joakim Sundnes
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning in Python - LazyProgrammer
Data Science and Big Data Analytics - EMC Education Services
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Machine Learning with Python for everyone - Mark E.Fenner
Introduction to Deep Learning - Eugene Charniak
Deep Learning with Python - Francois Cholletf
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Java Deep Learning Essentials - Yusuke Sugomori
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Intelligent Projects Using Python - Santanu Pattanayak
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Amazon Machine Learning Developer Guild Version Latest
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Python - Francois Chollet
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain