Here is my learning progress for DL (Deep Learning) and RL (Reinforcement Learning). Hope you find it helpful.

Math

1. PCA based on breast cancer dataset: [codes] [Youtube Chinese] [Bilibili Chinese]
2. Birthday Paradox: [codes] [Youtube Chinese] [Bilibili Chinese]

DP

1. LNN (Linear Neural Network) based on California housing dataset: [codes] [Youtube Chinese] [Bilibili Chinese]
2. MLP (Multiple Layer Perceptron) based on minist dataset: [codes] [Youtube Chinese] [Bilibili Chinese]
3. CNN (Convolutional Neural Network) based on cat-and-dog dataset: [codes] [Youtube Chinese] [Bilibili Chinese]
4. Basic RNN (Recurrent Neural Network) based on hourly energy consumption dataset: [codes] [Youtube Chinese] [Bilibili Chinese]

RL (TODO)

References

1. 动手学深度学习
2. wangshusen DL GitHub Repo
3. wangshusen DRL GitHub Repo
4. dennybritz RL GitHub Repo
5. applenob RL GitHub Repo
6. ML Interactive_Tools GitHub Repo
7. Book-Mathematical-Foundation-of-Reinforcement-Learning GitHub Repo