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:

TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning with spark and python - Michael Bowles
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning with Theano - Christopher Bourez
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Intelligent Projects Using Python - Santanu Pattanayak
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning and Neural Networks - Jeff Heaton
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Java Deep Learning Essentials - Yusuke Sugomori
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning with Python for everyone - Mark E.Fenner
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to the Math of Neural Networks - Jeff Heaton
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
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 from Scratch - Building with Python form First Principles - Seth Weidman
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Data Science and Big Data Analytics - EMC Education Services
Fundamentals of Deep Learning - Nikhil Bubuma