6111111 / ML-Notes

台大李宏毅老师《机器学习》笔记，在线阅读地址：https://scarleatt.github.io/categories/ML-notes/

ML-notes

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Pages

在线阅读地址：https://scarleatt.github.io/categories/ML-notes/

在线阅读地址(快速链接)：http://scarleatt.gitee.io/

Github仓库地址: https://github.com/scarleatt/ML-Notes

目录

1_Gradient Descent

2_Classification

3_Logistic Regression

4_Backpropagation

5_Tips for Training DNN

6_CNN

7_RNN

8_Semi-supervised Learning

9_Word Embedding

10_Explainable Machine Learning

11_Attack and Defense

12_Network Compression

13_Sequence to Sequence

14_PCA

15_T-distributed Stochastic Neighbor Embedding (t-SNE)

16_Deep Autoencoder

17_Generative Models

18_Anomaly Detection

19_Introduction of Generative Adversarial Network (GAN)

20_Conditional GAN (CGAN)

21_Unsupervised Conditional Generation

22_Theory behind GAN

23_fGAN

24_WGAN

25_Feature Extraction of GAN

26_Intelligent Photo Editing

27_Improving Sequence Generation by GAN

28_Evalution of Generative Models

29_Meta Learning

30_Transfer_Learning

31_Life Long Learning

Extension

Sequence Labeling Problem (HMM and CRF)