Syllabus

Fundamentals of Deep Learning

Lec1

Introduction to Deep Learning, PyTorch & Basic Algorithms

Lec2

Neural Networks Fundamentals

Basic Network Structures

Lec3

Convolutional Neural Networks (CNN)

HW 1

Lec4

Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)

HW 2

HW 1 due

Lec5

Graph Neural Networks: GNN, GCN

HW 3

HW 2 due

Lec6

Generative Adversarial Networks (GAN)

HW 4

HW 3 due

Lec7

Transformer and Attention Mechanisms

HW 5

HW 4 due

Applications

Lec8

NLP and Large Language Models

HW 5 due

Lec9

Image Segmentation

Lec10

Image Registration

HW 6

Lec11

Spatial-temporal Process

HW 6 due