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:

Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning with PyTorch - Vishnu Subramanian
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Machine Learning with spark and python - Michael Bowles
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Machine Learning with Python for everyone - Mark E.Fenner
Amazon Machine Learning Developer Guild Version Latest
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Pattern recognition and machine learning - Christopher M.Bishop
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Introduction to Deep Learning - Eugene Charniak
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Python - Francois Cholletf
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
An introduction to neural networks - Kevin Gurney & University of Sheffield
The hundred-page Machine Learning Book - Andriy Burkov
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Keras - Antonio Gulli & Sujit Pal
R Deep Learning Essentials - Dr. Joshua F.Wiley
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Data Science and Big Data Analytics - EMC Education Services
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron