Deep Learning for Computer vision -Introduction
Deep Learning for Computer vision -Introduction

Grading

Homework - 50%

Midterm - 20%

Final Project - 30%{

The projects may lead to

Conference papers.

Journal papers.

Master/PhD thesis.

etc.

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OPI-Lab website DL4CV⁠

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Deep learning - Goodfellow.

Deep Learning (deeplearningbook.org)⁠

⁠

Deep learning with Python.

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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