Practical Machine Learning - Deep Learning

Lecturer: Jian Li


Oct 7 Basics - Logistic regression, SVM, Gradient Descent, Stochastic GD, Neural Networks, Back Propagation, Training Tricks slides
Oct 21 CNN, PCA, Several CNN architectures, Visualize CNN (deconv net), Deep Dream, Neural Art slides
Oct 28 RNN, Bidirectional RNN, Grad vanishing & Explosion, LSTM, Image Captioning slides
Nov 3 Autoencoder, Attention (spatial transformer), Multi-modal learning, Neural Turing Machine, Memory Networks, Generative Adversarial Net slides


CS224d: Deep Learning for Natural Language Processing

CS231n: Convolutional Neural Networks for Visual Recognition

Nando de Freitas¡¯s class at Oxford

Jeff Hinton's Deep Learning Course


Deep Learning Book (Ian Goodfellow and Yoshua Bengio and Aaron Courville)