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:

Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Pattern recognition and machine learning - Christopher M.Bishop
Introduction to Deep Learning - Eugene Charniak
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Machine Learning - Sebastian Raschka
Medical Image Segmentation Using Artificial Neural Networks
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Machine Learning with spark and python - Michael Bowles
The hundred-page Machine Learning Book - Andriy Burkov
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Deep Learning Cookbook - Indra den Bakker
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning and Neural Networks - Jeff Heaton
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with Hadoop - Dipayan Dev
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning in Python - LazyProgrammer
Deep Learning with Theano - Christopher Bourez