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:

Introduction to Scientific Programming with Python - Joakim Sundnes
Learn Keras for Deep Neural Networks - Jojo Moolayil
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Python - Francois Cholletf
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with Hadoop - Dipayan Dev
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Introduction to Deep Learning - Eugene Charniak
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning with spark and python - Michael Bowles
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Java Deep Learning Essentials - Yusuke Sugomori
Neural Networks and Deep Learning - Charu C.Aggarwal
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
R Deep Learning Essentials - Dr. Joshua F.Wiley
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
The hundred-page Machine Learning Book - Andriy Burkov