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README.md

[2019-11-23] Update: Add Conditional Generative Adversarial Nets on MNIST in 01-UnsupervisedLerning

[2019-11-7] Update: Add Generative Adversarial Nets on MNIST in 01-UnsupervisedLerning

[2019-11-5] Update: Add 99.76% accuracy mnist model

CS229-ML-Implements(CS229机器学习算法的Python实现)

Implements of cs229(Machine Learning taught by Andrew Ng) in python.

I must pay all my attention to my papers, therefore the repository won't update soon.

CS229 Machine Learning Xmind:

CS229 Machine Learning course and notes:

OpenCourse

cs229-Notes

Syllabus:

Examples

Linear Regression

Locally Weighted Regression

Logistic Regression

Softmax Regression

Gaussian Discriminant Analysis

Naive Bayes spam-filter

TO BE CONTINUED

项目简介

🚀 Github 镜像仓库 🚀

源项目地址

https://github.com/sierkinhane/cs229-ml-implements

发行版本

当前项目没有发行版本

贡献者 4

开发语言

  • Python 100.0 %