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:

Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Pattern recognition and machine learning - Christopher M.Bishop
Neural Networks and Deep Learning - Charu C.Aggarwal
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Hadoop - Dipayan Dev
The hundred-page Machine Learning Book - Andriy Burkov
Introduction to Scientific Programming with Python - Joakim Sundnes
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Intelligent Projects Using Python - Santanu Pattanayak
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Amazon Machine Learning Developer Guild Version Latest
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning and Neural Networks - Jeff Heaton
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Coding Theory - Algorithms, Architectures and Application
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Python - Francois Cholletf
Deep Learning with Theano - Christopher Bourez