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 Mastery with Python - Understand your data, create accurate models and work project...
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
An introduction to neural networks - Kevin Gurney & University of Sheffield
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Pattern recognition and machine learning - Christopher M.Bishop
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Data Structures and Algorithms - Benjamin Baka
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning with PyTorch - Vishnu Subramanian
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
R Deep Learning Essentials - Dr. Joshua F.Wiley
Medical Image Segmentation Using Artificial Neural Networks
Python Machine Learning - Sebastian Raschka
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Introduction to Deep Learning - Eugene Charniak
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning in Python - LazyProgrammer
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning with spark and python - Michael Bowles
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Keras - Antonio Gulli & Sujit Pal