ML_Structure
Introduction
理论及套路
ML框架
- 实验指南
- Scikit-learn
  - scikit Notes
Neural Network
- Tensorflow
  - Note Tensorflow
  - TensorLayer
- 深度神经网络架构
  - CNN
    - CNN Summary
    - CS231n
  - RNN
    - LSTM
    - Attention
  - GAN
  - Autoencoder
  - Recursive NN
- 深度学习遇到的难题
Model
- kNN
- SVM
- Bayes
- GA遗传算法
- K-means-高斯混合模型GMM
  - EM-通俗版
- BP
- 降维算法
  - PCA
  - t-SENCE
- Decision Tree
项目
Data Scientist 的标准
- Objective
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Autoencoder

AutoEncoder

unsupervise learning

比PCA 表现要好在数据降维方面。

structure consist of two parts: encoder , decoder

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