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 iNote#01 iKeras#01 iTorch#01 pdf#01 PS#01 Solution

Machine Learning iNote#02 iKeras#02 iTorch#02 pdf#02 PS#02 Solution

Gradient Descent iNote#03 iKeras#03 iTorch#03 pdf#03 PS#03 Solution

Overfitting iNote#04 iKeras#04 iTorch#04 pdf#04 PS#04 Solution

ANN iNote#05 iKeras#05 iTorch#05 pdf#05 PS#05 Solution

Autoencoder (AE) iNote#06 iKeras#06 iTorch#06 pdf#06 PS#06 Solution

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

XAI: eXplainable AI iNote#08 iKeras#08 iTorch#08 pdf#08 PS#08 Solution

Midterm part 1 part 2

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

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

Object Detection iNote#11 iKeras#11 iTorch#11 pdf#11 PS#11 Solution

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

RNN/LSTM iNote#13 iKeras#13 iTorch#13 pdf#13 PS#13 Solution

Anomaly Detection iNote#14 iKeras#14 iTorch#14 pdf#14 PS#14 Solution

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

Deep Neural Operators iNote#16 iKeras#16 iTorch#16 pdf#16 PS#16 Solution

Self-supervised Learning iNote#17 iKeras#17 iTorch#17 pdf#17 PS#17 Solution

Diffusion Model iNote#18 iKeras#18 iTorch#18 pdf#18 PS#18 Solution

Final Exam part 1 part 2

Final Project Project

Others

XAI: Layer-wise Relevance Propagation (LRP)

Style Transfer

GNN: Human Action Recognition

Graph Neural Networks (GNN) iNote#19 iKeras#19 iTorch#19 pdf#19 PS#19

Transformer

Dates   Topics   with Python   Slides Homework     Solution

Fixed-Point Iteration iNote#01 pdf#01

Dynamic Programming iNote#02 pdf#02

MDP: Markov Chain iNote#03_1 pdf#03_1

MDP: Markov Reward Process (MRP) iNote#03_2 pdf#03_2

MDP: Markov Decision Process (MDP) iNote#03_3 pdf#03_3

Reinforcement Learning iNote#04 pdf#04

Reinforcement Learning pdf#04_lab

Deep Reinforcement Learning iNote#05 pdf#05

Deep Reinforcement Learning pdf#05_lab