This repository contains a translated and adapted version of Professor Lee Hung-yi’s popular NTU machine learning course, designed to lower the barrier to entry for deep learning. It covers foundational topics including CNNs, RNNs, self-attention mechanisms, transformers, generative models like GANs and diffusion models, reinforcement learning, network compression, and transfer learning. The materials are provided as Jupyter Notebooks with detailed formula derivations and explanatory text.