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:

Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Introduction to Deep Learning - Eugene Charniak
Deep Learning with Python - Francois Chollet
Neural Networks and Deep Learning - Charu C.Aggarwal
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Python Machine Learning - Sebastian Raschka
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Introduction to the Math of Neural Networks - Jeff Heaton
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Learn Keras for Deep Neural Networks - Jojo Moolayil
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introduction to Scientific Programming with Python - Joakim Sundnes
Coding Theory - Algorithms, Architectures and Application