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:

Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Theano - Christopher Bourez
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning for Natural Language Processing - Jason Brownlee
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Machine Learning Eqution Reference - Sebastian Raschka
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with PyTorch - Vishnu Subramanian
Amazon Machine Learning Developer Guild Version Latest
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Introduction to Scientific Programming with Python - Joakim Sundnes
Coding Theory - Algorithms, Architectures and Application
R Deep Learning Essentials - Dr. Joshua F.Wiley
Java Deep Learning Essentials - Yusuke Sugomori
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Introduction to the Math of Neural Networks - Jeff Heaton
Neural Networks - A visual introduction for beginners - Michael Taylor
Artificial Intelligence by example - Denis Rothman
Deep Learning with Python - Francois Cholletf
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj