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:

TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Python - Francois Chollet
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
The hundred-page Machine Learning Book - Andriy Burkov
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning and Neural Networks - Jeff Heaton
Data Science and Big Data Analytics - EMC Education Services
Python Data Structures and Algorithms - Benjamin Baka
Neural Networks and Deep Learning - Charu C.Aggarwal
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Machine Learning - Sebastian Raschka
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Introduction to the Math of Neural Networks - Jeff Heaton
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Learn Keras for Deep Neural Networks - Jojo Moolayil
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
An introduction to neural networks - Kevin Gurney & University of Sheffield
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning with Hadoop - Dipayan Dev