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:

Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning with Python for everyone - Mark E.Fenner
Introduction to Scientific Programming with Python - Joakim Sundnes
Introduction to Deep Learning - Eugene Charniak
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Cholletf
Artificial Intelligence by example - Denis Rothman
Amazon Machine Learning Developer Guild Version Latest
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Java Deep Learning Essentials - Yusuke Sugomori
The hundred-page Machine Learning Book - Andriy Burkov
An introduction to neural networks - Kevin Gurney & University of Sheffield
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Coding Theory - Algorithms, Architectures and Application
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning with PyTorch - Vishnu Subramanian
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants