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:

Neural Networks - A visual introduction for beginners - Michael Taylor
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deep Learning Cookbook - Indra den Bakker
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning and Neural Networks - Jeff Heaton
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Amazon Machine Learning Developer Guild Version Latest
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning in Python - LazyProgrammer
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Cholletf
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with PyTorch - Vishnu Subramanian
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
R Deep Learning Essentials - Dr. Joshua F.Wiley
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Learn Keras for Deep Neural Networks - Jojo Moolayil
Medical Image Segmentation Using Artificial Neural Networks
Machine Learning with spark and python - Michael Bowles
Data Science and Big Data Analytics - EMC Education Services
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden