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 with spark and python - Michael Bowles
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning in Python - LazyProgrammer
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Applications Using Python - Navin Kumar Manaswi
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning for Natural Language Processing - Jason Brownlee
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Introduction to Deep Learning - Eugene Charniak
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Data Structures and Algorithms - Benjamin Baka
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Python - Francois Chollet
Medical Image Segmentation Using Artificial Neural Networks
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning with Hadoop - Dipayan Dev
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with PyTorch - Vishnu Subramanian
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Introduction to Scientific Programming with Python - Joakim Sundnes
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Python - Francois Cholletf