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:

Artificial Intelligence by example - Denis Rothman
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python Data Structures and Algorithms - Benjamin Baka
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Python Machine Learning Eqution Reference - Sebastian Raschka
Neural Networks - A visual introduction for beginners - Michael Taylor
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Python - Francois Cholletf
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning in Python - LazyProgrammer
Introduction to Scientific Programming with Python - Joakim Sundnes
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning with Hadoop - Dipayan Dev
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Medical Image Segmentation Using Artificial Neural Networks
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning for Natural Language Processing - Jason Brownlee
Machine Learning with spark and python - Michael Bowles
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning with PyTorch - Vishnu Subramanian
Data Science and Big Data Analytics - EMC Education Services
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning with Python - Francois Chollet