Archive

Think different
2019

Training a Wasserstein GAN on the free google colab TPU

使用谷歌免费TPU训练Wasserstein GAN 模型

EM Algorithm and Gaussian Mixture Model for Clustering

EM算法与高斯混合模型

An Introduction to Expectation-Maximization (EM) Algorithm

EM算法详解

An Introduction to Support Vector Machines (SVM): A Python Implementation

支持向量机(SVM)概述：Python 代码实现

An Introduction to Support Vector Machines (SVM): Sequential Minimal Optimization (SMO)

支持向量机(SVM)概述：SMO算法求解对偶问题

An Introduction to Support Vector Machines (SVM): kernel functions

支持向量机(SVM)概述：核函数

An Introduction to Support Vector Machines (SVM): SVM with slack variables

支持向量机(SVM)概述：具有松弛变量的支持向量机

An Introduction to Support Vector Machines (SVM): Dual problem solution using GD

支持向量机(SVM)概述：使用梯度下降求解对偶问题

An Introduction to Support Vector Machines (SVM): Convex Optimization and Lagrangian Duality Principle

支持向量机(SVM)概述：凸优化与拉格朗日对偶问题

An Introduction to Support Vector Machines (SVM): Gradient Descent Solution

支持向量机(SVM)概述：梯度下降法

An Introduction to Support Vector Machines (SVM): Basics

支持向量机(SVM)概述：线性支持向量机