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)

Lec5

Graph Neural Networks: GNN, GCN

Lec6

Generative Adversarial Networks (GAN)

Lec7

Transformer and Attention Mechanisms

Applications

Lec8

NLP and Large Language Models

Lec9

Image Segmentation

Lec10

Image Registration

Lec11

Spatial-temporal Process