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
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning and Neural Networks - Jeff Heaton
Introduction to Deep Learning - Eugene Charniak
Data Science and Big Data Analytics - EMC Education Services
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
An introduction to neural networks - Kevin Gurney & University of Sheffield
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning for Natural Language Processing - Jason Brownlee
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Python - Francois Cholletf
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Machine Learning with Python for everyone - Mark E.Fenner
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning with Theano - Christopher Bourez
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Deep Learning Cookbook - Indra den Bakker
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning with Hadoop - Dipayan Dev
Learn Keras for Deep Neural Networks - Jojo Moolayil
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson