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:

Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Artificial Intelligence by example - Denis Rothman
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning and Neural Networks - Jeff Heaton
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with PyTorch - Vishnu Subramanian
Amazon Machine Learning Developer Guild Version Latest
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
Introduction to the Math of Neural Networks - Jeff Heaton
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Python - Francois Cholletf
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Coding Theory - Algorithms, Architectures and Application
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning in Python - LazyProgrammer
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Pattern recognition and machine learning - Christopher M.Bishop
Fundamentals of Deep Learning - Nikhil Bubuma