CEE 696-005: Deep Learning in CEE and ESFall Semester 2020
ReferencesGoodfellow, Bengio and Courville, Deep Learning, MIT Press, 2016 Charniak, Introduction to Deep Learning, MIT Press, 2019 Stone, Artificial Intelligence Engines: A tutorial introduction to the mathematics of deep learning, Sebtel Press, 2019 Strang, Linear Algebra and Learning from Data, Wellesley Cambridge Press, 2019 Michael Nielsen, Neural Networks and Deep Learning, Determination Press, 2015 Hastie, Tibshirani and Friedman, The Elements of Statistical Learning, Springer, 2009 Hal Daumé III, A Course in Machine Learning Langr and Bok, GANs In Action, Manning Publication, 2019 Murphy, Probabilistic Machine Learning: An Introduction, MIT Press, 2021 ReviewsHigham and Higham, Deep Learning: An Introduction for Applied Mathematicians, SIAM Review, 2019 LeCun, Bengio and Hinton, Deep Learning, Nature, 521:436-444, 2015 Schmidhuber, Deep learning in Neural Networks: An overview, Neural networks, 61:85-117, 2015 EtcJaynes, Probability Theory: The logic of science, Cambridge University Press, 2003 & Aubrey Clayton's Lectures on Jaynes’ book |