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:

Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Python - Francois Chollet
Data Science and Big Data Analytics - EMC Education Services
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning with spark and python - Michael Bowles
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Intelligent Projects Using Python - Santanu Pattanayak
Python Machine Learning - Sebastian Raschka
Java Deep Learning Essentials - Yusuke Sugomori
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Data Structures and Algorithms - Benjamin Baka
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Introduction to Deep Learning - Eugene Charniak
Neural Networks and Deep Learning - Charu C.Aggarwal
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Theano - Christopher Bourez
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning for Natural Language Processing - Jason Brownlee
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho