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

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