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 and Neural Networks - Jeff Heaton
Introduction to the Math of Neural Networks - Jeff Heaton
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning with Python - Francois Chollet
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning in Python - LazyProgrammer
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Introduction to Deep Learning - Eugene Charniak
Medical Image Segmentation Using Artificial Neural Networks
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Python - Francois Cholletf
Java Deep Learning Essentials - Yusuke Sugomori
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Data Structures and Algorithms - Benjamin Baka
An introduction to neural networks - Kevin Gurney & University of Sheffield
Neural Networks and Deep Learning - Charu C.Aggarwal
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali