Schedule - Deep Learning / Fall 1398 (2019)

Event

Date

Description

Course Material
Lecture

2019-09-29 07:00:00 +0330
Sunday

Introduction to Deep Learning

[slides] [notes]
Lecture

2019-10-06 07:00:00 +0330
Sunday

Mathematical Building Blocks of Neural Networks

[slides] [notes] [code]
Lecture

2019-10-13 07:00:00 +0330
Sunday

Getting Started with Neural Networks

[slides] [Predicting house prices] [Sentiment Analysis: IMDB movie reviews] [Classifying Newswire]
Assignment

2019-10-24 19:00:00 +0330
Thursday

Assignment #1 - MLP and preprocessing released!

[Assignment #1 - MLP and preprocessing] [Solutions]
Lecture

2019-11-26 08:00:00 +0330
Tuesday

Computer Vision

[slides]
Lecture

2019-11-26 09:00:00 +0330
Tuesday

Fundamentals of Machine Learning

[slides]
Assignment

2019-12-04 19:00:00 +0330
Wednesday

Assignment #2 - Image task and Visualization released!

[Assignment #2 - Image task and Visualization] [Solutions]
Lecture

2019-12-19 08:00:00 +0330
Thursday

Generative Deep Learning

[slides] [Text generation with LSTMs] [DeepDream] [MNIST with VAE] [GAN for frog generation]
Lecture

2019-12-19 08:00:00 +0330
Thursday

Processing Text and Sequential Data

[slides] [IMDB sentiment analysis using MLP with pre-trained embeddings] [IMDB sentiment analysis using MLP with SimpleRNN] [IMDB sentiment analysis using MLP with LSTM] [Temperature forecasting problem using GRUs] [Text processing using 1D ConvNets]
Lecture

2019-12-19 08:00:00 +0330
Thursday

Advanced Models

[slides] [Keras functional API]
Assignment

2019-12-19 19:00:00 +0330
Thursday

Assignment #3 - Transfer Learning and Sequence to Sequence models released!

[Assignment #3 - Transfer Learning and Sequence to Sequence models] [Solutions]
Lecture

2020-01-13 08:00:00 +0330
Monday

Transformer and BERT

[slides]