12/13/2023 0 Comments Matlab deep learning tutorial![]() Designing, Visualizing and Understanding Deep Neural Networks-UC Berkeley.Deep Learning Course by Yann LeCun (2016).Statistical Machine Learning - CMU by Prof.Ali Ghodsi at University of Waterloo (2015) ![]() Deep Learning - Udacity/Google by Vincent Vanhoucke and Arpan Chakraborty (2016).Graduate Summer School: Deep Learning, Feature Learning by Geoffrey Hinton, Yoshua Bengio, Yann LeCun, Andrew Ng, Nando de Freitas and several others IPAM, UCLA (2012).Deep Learning for Natural Language Processing - Stanford.Convolutional Neural Networks for Visual Recognition - Stanford by Fei-Fei Li, Andrej Karpathy (2017).Vision and learning - computers and brains by Shimon Ullman, Tomaso Poggio, Ethan Meyers MIT (2013).A.I - MIT by Patrick Henry Winston (2010).A.I - Berkeley by Dan Klein and Pieter Abbeel (2013).Deep Learning Course by CILVR lab NYU (2014).Neural networks class by Hugo Larochelle from Université de Sherbrooke (2013).Neural Networks for Machine Learning by Geoffrey Hinton in Coursera (2012).Machine Learning - Carnegie Mellon by Tom Mitchell (Spring 2011).Machine Learning - Caltech by Yaser Abu-Mostafa (2012-2014).Machine Learning - Stanford by Andrew Ng in Coursera (2010-2014).Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron | Oct 15, 2019.Regularization in Deep Learning - by Liu Peng.Deep Learning with R, Second Edition - by François Chollet with Tomasz Kalinowski and J.Engineering Deep Learning Platforms - by Chi Wang and Donald Szeto.Evolutionary Deep Learning - by Micheal Lanham.Deep Learning with Python, Second Edition - by François Chollet.Deep Learning Patterns and Practices - by Andrew Ferlitsch.Deep Learning for Natural Language Processing - by Stephan Raaijmakers.TensorFlow 2.0 in Action - by Thushan Ganegedara.Math and Architectures of Deep Learning - by Krishnendu Chaudhury.Practical Deep Learning for Cloud, Mobile, and Edge - A book for optimization techniques during production.Dive into Deep Learning - numpy based interactive Deep Learning book.Grokking Deep Learning for Computer Vision.Artificial intelligence and machine learning: Topic wise explanation.Deep Learning in Neural Networks: An Overview.Artificial Intelligence: A Modern Approach.neuraltalk by Andrej Karpathy : numpy-based RNN/LSTM implementation.Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015).Deep Learning by Microsoft Research (2013).Neural Networks and Deep Learning by Michael Nielsen (Dec 2014).Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (). ![]()
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