Deep Learning for Computer vision -Introduction

Grading

Homework - 50%
Midterm - 20%
Final Project - 30%{

Projects

The projects may lead to
Conference papers.
Journal papers.
Master/PhD thesis.
etc.

Website

Suggested books

Deep learning - Goodfellow.
Deep learning with Python.

Topics to be covered in class

ML basics, linear classifiers.
Multilayer neural networks, backpropagation.
Convolutional networks for classification.
Networks for detection.
Networks for dense prediction.
GANs.
Recurrent models.
Transformers.
Deep reinforcement learning.

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