DEEP LEARNING

Topics HTML Keras PyTorch Slides Colab Solution

Colab Installation iNote#0_1, iNote#0_2

Python Basics of Python

Introduction pdf#00

Optimization iHTML#01 iKeras#01 iTorch#01 pdf#01 PS#01

Machine Learning iHTML#02 iKeras#02 iTorch#02 pdf#02 PS#02

Gradient Descent iHTML#03 iKeras#03 iTorch#03 pdf#03 PS#03

Overfitting iHTML#04 iKeras#04 iTorch#04 pdf#04 PS#04

ANN iHTML#05 iKeras#05 iTorch#05 pdf#05 PS#05

Autoencoder (AE) iHTML#06 iKeras#06 iTorch#06 pdf#06 PS#06

Convolutional Neural Networks (CNN) iHTML#07 iKeras#07 iTorch#07 pdf#07 PS#07

XAI: CAM and Grad-CAM iHTML#08 iKeras#08 iTorch#08 pdf#08 PS#08

Midterm part 1 part 2

Pre-trained CNNs and Trasfer Learning iHTML#09 iKeras#09 iTorch#09 pdf#09 PS#09

FCN: Segmentation, SR, and Deblurring iHTML#10 iKeras#10 iTorch#10 pdf#10 PS#10

Object Detection iHTML#11 iKeras#11 iTorch#11 pdf#11 PS#11

Generative Adversarial Networks (GAN) iHTML#12 iKeras#12 iTorch#12 pdf#12 PS#12

Diffusion Model

RNN/LSTM iHTML#13 iKeras#13 iTorch#13 pdf#13 PS#13

Transformer

Anomaly Detection iHTML#14 iKeras#14 iTorch#14 pdf#14 PS#14

Physics-informed Neural Networks (PINN) iHTML#15 iKeras#15 iTorch#15 pdf#15 PS#15

Operator Learning iHTML#16 iKeras#16 iTorch#16 pdf#16 PS#16

Self-supervised Learning iHTML#17 iKeras#17 iTorch#17 pdf#17 PS#17

Final Exam

Final Project

Others

XAI: Layer-wise Relevance Propagation (LRP)

Style Transfer

GNN: Human Action Recognition

Graph Neural Networks (GNN) iHTML#18 iKeras#18 iTorch#18 pdf#18 PS#18

Dates   Topics   with Python   Slides Homework     Solution

Fixed-Point Iteration iNote#18 pdf#18

Dynamic Programming iNote#19 pdf#19

MDP: Markov Chain iNote#20_1 pdf#20_1

MDP: Markov Reward Process (MRP) iNote#20_2 pdf#20_2

MDP: Markov Decision Process (MDP) iNote#20_3 pdf#20_3

Reinforcement Learning iNote#21 pdf#21

Reinforcement Learning pdf#21_lab

Deep Reinforcement Learning iNote#22 pdf#22

Deep Reinforcement Learning pdf#22_lab