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:

Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with PyTorch - Vishnu Subramanian
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Amazon Machine Learning Developer Guild Version Latest
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Coding Theory - Algorithms, Architectures and Application
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Machine Learning with spark and python - Michael Bowles
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Python - Francois Cholletf
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
The hundred-page Machine Learning Book - Andriy Burkov
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning with Theano - Christopher Bourez
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Introduction to Deep Learning - Eugene Charniak
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning in Python - LazyProgrammer
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...