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:

Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning in Python - LazyProgrammer
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Data Science and Big Data Analytics - EMC Education Services
Deep Learning and Neural Networks - Jeff Heaton
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Machine Learning - Sebastian Raschka
Artificial Intelligence by example - Denis Rothman
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Amazon Machine Learning Developer Guild Version Latest
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Java Deep Learning Essentials - Yusuke Sugomori
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Pattern recognition and machine learning - Christopher M.Bishop
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Machine Learning with Python for everyone - Mark E.Fenner
Intelligent Projects Using Python - Santanu Pattanayak