This repository contains lecture slides and Jupyter Notebook code for 15 machine learning homeworks covering deep learning topics including CNNs, self-attention, Transformers, GANs, BERT, autoencoders, reinforcement learning, and meta-learning. It serves as course materials for the official NTU machine learning lecture series.