Deep Learning 深度學習

1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data

3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch

4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

5: Deep Learning for Natural Language – The Basics

6: Deep Learning for Natural Language – Embeddings

7: Deep Learning for Natural Language – Transformers

8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning

9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning