【345】机器学习入门 - 李宏毅机器学习笔记
参考:[机器学习入门] 经典台大李宏毅机器学习课程从这里开始
TOPIC | BLOG | VIDEO | |
---|---|---|---|
【1】Learning Map(学习导图) | blog | video | |
【2】Regression:Case Study ;回归:案例研究 | blog | video | |
【3】Gradient Descent ;梯度下降 | blog | video | |
【4】Where does the error come from? ;误差分析 | blog | video | |
【5】Classification: Probabilistic Generative Model;分类:概率生成模型 | blog | video | |
【6】Classification: Logistic Regression;Logistic回归 | blog | video | |
【7】Brief Introduction of Deep Learning;深度学习简介 | blog | video | |
【8】Backpropagation;反向传播算法 | blog | video | |
【9】“Hello world” of deep learning;初探深度学习 | blog | video | |
【10】Tips for Deep Learning;深度学习小贴士 | blog | video | |
【11】Convolutional Neural Network;卷积神经网络 | blog | video | |
【12】Why Deep Learning? ; 为什么是深度学习? | blog | video | |
【13】Semi-supervised Learning ;半监督学习 | blog | video | |
【14】Unsupervised Learning: Linear Dimension Reduction;线性降维 | blog | video | |
【15】Unsupervised Learning: Word Embedding;无监督学习:词嵌入 | blog | video | |
【16】Unsupervised Learning: Neighbor Embedding;无监督学习:邻域嵌套 | blog | video | |
【17】Unsupervised Learning: Deep Auto-encoder;无监督学习:深度自动编码器 | blog | video | |
【18】Deep Generative Model-part 1:深度生成模型-part 1 | blog | video | |
【19】Deep Generative Model-part 2:深度生成模型-part 2 | blog | video | |
【20】Deep Generative Model-part 3:深度生成模型-part 3 | blog | video | |
【21】Transfer Learning part 1 ; 迁移学习 part 1 | blog | video | |
【22】Transfer Learning part 2;迁移学习 part 2 | blog | video | |
【23】Support Vector Machine;支持向量机 | blog | video | |
【24】introduction of Structured Learning;结构化学习介绍 | blog | video | |
【25】Structured Linear Model;结构化预测-线性模型 | blog | video | |
【26】Structured Support Vector Machine part 1;结构化支持向量机part 1 | blog | video | |
【27】Structured SVM part 2;结构化支持向量机 part 2 | blog | video | |
【28】Structured SVM part 3 ;结构化支持向量机 part 3 | blog | video | |
【29】Sequence Labeling Problem part 1;结构化预测-序列标记 part 1 | blog | video | |
【30】Sequence Labeling Problem part 2 ;结构化预测-序列标记 part 2 | blog | video | |
【31】Sequence Labeling Problem part 3 ;结构化预测-序列标记 part 3 | blog | video | |
【32】Recurrent Neural Network part 1;循环神经网络 part 1 | blog | video | |
【33】Recurrent Neural Network part 2;循环神经网络 part 2 | blog | video | |
【34】Recurrent Neural Network part 3;循环神经网络 part 3 | blog | video | |
【35】Ensemble;集成方法 | blog | video | |
【36】Ensemble part 2;集成方法 part 2 | blog | video | |
【37】Deep Reinforcement Learning;深度增强学习入门 | blog | video | |
【38】李宏毅机器学习课程回顾 + 接下来的学习声明 | blog | ||
【39】李宏毅机器学习课程从这里开始 | blog |
相关链接:
课程主页:http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML16.html
PPT打包下载:http://speech.ee.ntu.edu.tw/~tlkagk/courses/ML_2016/all.rar
详细版如下:
TOPIC | CONTENTS | BLOG | VIDEO | |
---|---|---|---|---|
【1】Learning Map(学习导图) | blog | video | ||
【2】Regression:Case Study ;回归:案例研究 | blog | video | ||
【3】Gradient Descent ;梯度下降 | blog | video | ||
【4】Where does the error come from? ;误差分析 | blog | video | ||
【5】Classification: Probabilistic Generative Model;分类:概率生成模型 | blog | video | ||
【6】Classification: Logistic Regression;Logistic回归 | blog | video | ||
【7】Brief Introduction of Deep Learning;深度学习简介 | blog | video | ||
【8】Backpropagation;反向传播算法 | blog | video | ||
【9】“Hello world” of deep learning;初探深度学习 | blog | video | ||
【10】Tips for Deep Learning;深度学习小贴士 | blog | video | ||
【11】Convolutional Neural Network;卷积神经网络 | blog | video | ||
【12】Why Deep Learning? ; 为什么是深度学习? | blog | video | ||
【13】Semi-supervised Learning ;半监督学习 | blog | video | ||
【14】Unsupervised Learning: Linear Dimension Reduction;线性降维 | blog | video | ||
【15】Unsupervised Learning: Word Embedding;无监督学习:词嵌入 | blog | video | ||
【16】Unsupervised Learning: Neighbor Embedding;无监督学习:邻域嵌套 | blog | video | ||
【17】Unsupervised Learning: Deep Auto-encoder;无监督学习:深度自动编码器 | blog | video | ||
【18】Deep Generative Model-part 1:深度生成模型-part 1 | blog | video | ||
【19】Deep Generative Model-part 2:深度生成模型-part 2 | blog | video | ||
【20】Deep Generative Model-part 3:深度生成模型-part 3 | blog | video | ||
【21】Transfer Learning part 1 ; 迁移学习 part 1 | blog | video | ||
【22】Transfer Learning part 2;迁移学习 part 2 | blog | video | ||
【23】Support Vector Machine;支持向量机 | blog | video | ||
【24】introduction of Structured Learning;结构化学习介绍 | blog | video | ||
【25】Structured Linear Model;结构化预测-线性模型 | blog | video | ||
【26】Structured Support Vector Machine part 1;结构化支持向量机part 1 | blog | video | ||
【27】Structured SVM part 2;结构化支持向量机 part 2 | blog | video | ||
【28】Structured SVM part 3 ;结构化支持向量机 part 3 | blog | video | ||
【29】Sequence Labeling Problem part 1;结构化预测-序列标记 part 1 | blog | video | ||
【30】Sequence Labeling Problem part 2 ;结构化预测-序列标记 part 2 | blog | video | ||
【31】Sequence Labeling Problem part 3 ;结构化预测-序列标记 part 3 | blog | video | ||
【32】Recurrent Neural Network part 1;循环神经网络 part 1 | blog | video | ||
【33】Recurrent Neural Network part 2;循环神经网络 part 2 | blog | video | ||
【34】Recurrent Neural Network part 3;循环神经网络 part 3 | blog | video | ||
【35】Ensemble;集成方法 | blog | video | ||
【36】Ensemble part 2;集成方法 part 2 | blog | video | ||
【37】Deep Reinforcement Learning;深度增强学习入门 | blog | video | ||
【38】李宏毅机器学习课程回顾 + 接下来的学习声明 | blog | |||
【39】李宏毅机器学习课程从这里开始 | 本文 | blog |
相关链接:
课程主页:http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML16.html
PPT打包下载:http://speech.ee.ntu.edu.tw/~tlkagk/courses/ML_2016/all.rar
posted on 2018-12-03 06:30 McDelfino 阅读(3931) 评论(0) 编辑 收藏 举报