文章目录
1. 课程相关资料
2. 官方笔记 2019
2.1 Module 1: Neural Networks
- 00 Python Numpy Tutorial
- 01 Image Classification
- 02 Linear Classification
- 03 Optimization
- 04 Backpropagation
- 05 Neural Networks I : Architecture
- 06 Neural Networks II : Data and Loss
- 07 Neural Networks III: Learning and Evaluation
- 08 Minimal Neural Networks Case Study
2.2 Module 2: Convolutional Neural Networks
- 09 Convolutional Neural Networks: Architectures, Convolution / Pooling Layers
- 10 Understanding and Visualizing Convolutional Neural Networks
- 11 Transfer Learning and Fine-tuning Convolutional Neural Networks
3. 课堂笔记 2017
4. 扩展阅读
