DEEP LEARNING

Deep Learning

Feel free to use, modify, and distribute as needed

[YouTube in Korean], [YouTube in English]

These lecture materials for Deep Learning are openly available to everyone.

For students: You are encouraged to use these materials to support your studies.
For instructors: You are welcome to use, modify, and distribute these materials in your teaching.

No credit or reference to us is required.

Topics HTML Keras PyTorch Slides PowerPoints PS 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 pptx#01 PS#01 Solution

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

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

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

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

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

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

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

Midterm Part 1 Part 2

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

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

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

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

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

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

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

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

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

Diffusion Model iNote#18 iKeras#18 iTorch#18 pdf#18 pptx#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 pptx#19 PS#19

Transformer

Deep Reinforcement Learning

Feel free to use, modify, and distribute as needed

[YouTube 1] or [YouTube 2]

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