课程名称:CS 198-126: Deep Learning for Visual Data
课程主页:CS 198-126: Deep Learning for Visual Data (notion.site)
| 单元 | 视频 | 章节 | ppt |
|---|---|---|---|
| 1.Intro to Deep Learning | b站 | 1.What is Machine Learning? | [Fall 2023] Intro to ML - Google 幻灯片 |
| 源 | 2.Deep Learning 1: Introduction to Neural Networks | [Fall 2023] Deep Learning 1 - Google 幻灯片 | |
| 3.Deep Learning 2: Neural Network Optimization | |||
| 4.Deep Learning 3: Representation Learning | |||
| 2.Essential Computer Vision | 1.Images and Convolutions | ||
| 2.Convolutional Neural Networks | |||
| 3.Advanced CV Architectures | |||
| 4.Object Detection | |||
| 5.Segmentation | |||
| 3.Transformers | 1.Sequence Modeling | ||
| 2.Attention and Transformers | |||
| 3.Vision Transformers | |||
| 4.Multimodality and CLIP | |||
| 5.Self-Supervised Learning for CV | |||
| 6.Advanced Detection and Segmentation | |||
| 4.Generative Modeling | 1.Variational Autoencoders | ||
| 2.Generative Adversarial Networks (GANs) Part 1 | |||
| 3.Generative Adversarial Networks (GANs) Part 2 | |||
| 4.Vector Quantization | |||
| 5.Diffusion Part 1 | |||
| 6.Diffusion Part 2 |
Modern Computer Vision
课程主页:CS 198-126 Fall 2022 (notion.site)
视频:CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley) - YouTube