IFT6135
"IFT 6135 - Representation Learning Winter 2019, A Deep Learning Course offered by the Université de Montréal"
Repo. files:
Assignments' Question
Assignment #1 Answer
Assignment #2 Answer
Assignment #3 Answer
Course Description:
https://sites.google.com/mila.quebec/ift6135/course-description?authuser=0#h.p_wddHizLzu6_f
Main Topics (From the website):
Neural networks structure and training algorithms
Convolutional neural networks
Recurrent neural networks
Optimization methods for training neural networks Regularization of neural networks Normalization Methods (Batch Normalization, etc.)
Attention Mechanism Memory Models Transformer Networks
Meta-Learning
Autoencoders Variational Autoencoders Generative Adversarial Networks (GANs) Autoregressive Generative Models