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:

Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Introduction to the Math of Neural Networks - Jeff Heaton
Amazon Machine Learning Developer Guild Version Latest
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
R Deep Learning Essentials - Dr. Joshua F.Wiley
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Hadoop - Dipayan Dev
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Introduction to Scientific Programming with Python - Joakim Sundnes
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning with Python for everyone - Mark E.Fenner
Intelligent Projects Using Python - Santanu Pattanayak
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Data Science and Big Data Analytics - EMC Education Services
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Artificial Intelligence by example - Denis Rothman
Neural Networks - A visual introduction for beginners - Michael Taylor
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Pattern recognition and machine learning - Christopher M.Bishop
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke