MIT 15.773 Hands-On Deep Learning Spring 2024
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What you'll learn
This course includes
- 13.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 11 lessons • 13.5 hours of video
MIT 15.773 Hands-On Deep Learning Spring 2024
11 lessons
• 13.5 hours
MIT 15.773 Hands-On Deep Learning Spring 2024
11 lessons
• 13.5 hours
- 1: Introduction to Neural Networks and Deep Learning; Training Deep NNs 57:05
- 2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data 01:18:22
- 3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch 01:17:13
- 4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace 01:16:22
- 5: Deep Learning for Natural Language – The Basics 01:17:04
- 6: Deep Learning for Natural Language – Embeddings 01:17:51
- 7: Deep Learning for Natural Language – Transformers 01:16:38
- 8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning 01:16:47
- 9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) 01:14:30
- 10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning 01:17:43
- 11: Generative AI – Text-to-Image Models 01:15:38
