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:

Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Keras - Antonio Gulli & Sujit Pal
R Deep Learning Essentials - Dr. Joshua F.Wiley
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Amazon Machine Learning Developer Guild Version Latest
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning with PyTorch - Vishnu Subramanian
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning with spark and python - Michael Bowles
Deep Learning with Python - Francois Cholletf
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
The hundred-page Machine Learning Book - Andriy Burkov
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Medical Image Segmentation Using Artificial Neural Networks
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Theano - Christopher Bourez
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Artificial Intelligence Project for Beginners - Joshua Eckroth