MIT 15.773 Hands-On Deep Learning Spring 2024

课程大纲（11 讲）

1. P1 · 1: Introduction to Neural Networks and Deep Learning; Training Deep NNs57 分钟
2. P2 · 2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to78 分钟
3. P3 · 3: Deep Learning for Computer Vision – Building Convolutional Neural Networks fr77 分钟
4. P4 · 4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro76 分钟
5. P5 · 5: Deep Learning for Natural Language – The Basics77 分钟
6. P6 · 6: Deep Learning for Natural Language – Embeddings77 分钟
7. P7 · 7: Deep Learning for Natural Language – Transformers76 分钟
8. P8 · 8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning76 分钟
9. P9 · 9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generat74 分钟
10. P10 · 10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning77 分钟
11. P11 · 11: Generative AI – Text-to-Image Models75 分钟