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:

Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Pattern recognition and machine learning - Christopher M.Bishop
Neural Networks and Deep Learning - Charu C.Aggarwal
Data Science and Big Data Analytics - EMC Education Services
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Java Deep Learning Essentials - Yusuke Sugomori
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Python - Francois Chollet
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Hadoop - Dipayan Dev
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python Machine Learning - Sebastian Raschka
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Data Structures and Algorithms - Benjamin Baka
Amazon Machine Learning Developer Guild Version Latest
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning for Natural Language Processing - Jason Brownlee
Artificial Intelligence by example - Denis Rothman