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:

Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
An introduction to neural networks - Kevin Gurney & University of Sheffield
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Pattern recognition and machine learning - Christopher M.Bishop
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Data Structures and Algorithms - Benjamin Baka
Introduction to Deep Learning - Eugene Charniak
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Medical Image Segmentation Using Artificial Neural Networks
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Theano - Christopher Bourez
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Intelligent Projects Using Python - Santanu Pattanayak
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Data Science and Big Data Analytics - EMC Education Services
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda