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Title: GitHub - flyfire100/tutorial: Deeplearning Algorithms Tutorial

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Description: Deeplearning Algorithms Tutorial. Contribute to flyfire100/tutorial development by creating an account on GitHub.

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https://patch-diff.githubusercontent.com/flyfire100/tutorial#机器学习
机器学习环境的搭建https://github.com/AI-algorithms/Algorithms-Tutorial/blob/master/src/Machine%20Learning/ML.01.md
机器学习的入门https://github.com/AI-algorithms/Algorithms-Tutorial/blob/master/src/Machine%20Learning/ML.02.md
机器学习的框架https://github.com/AI-algorithms/Algorithms-Tutorial/blob/master/src/Machine%20Learning/ML.03.md
机器学习的应用案例https://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master
https://patch-diff.githubusercontent.com/flyfire100/tutorial#深度学习
深度神经网络https://github.com/AI-algorithms/Algorithms-Tutorial/blob/master/src/Neural%20Network/NNK.01.md
深度学习的入门https://github.com/AI-algorithms/Algorithms-Tutorial/blob/master/src/Neural%20Network/NNK.02.md
深度学习环境的搭建https://github.com/AI-algorithms/Algorithms-Tutorial/blob/master/src/Neural%20Network/NNK.03.md
深度学习的应用案例https://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master
https://patch-diff.githubusercontent.com/flyfire100/tutorial#机器学习算法概览
https://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master/assets/images/overview.png
BP神经网络https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BP/BP.md
RBF算法https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RBF/RBF.md
SOM神经网络https://github.com/KeKe-Li/tutorial/blob/master/assets/src/SOM/SOM.md
ART神经网络https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ART/ART.md
贝叶斯网络https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BNS/BNS.md
粗糙集https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RST/RST.md
孤立点分析https://github.com/KeKe-Li/tutorial/blob/master/assets/src/OTR/OTR.md
CARThttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/CART/CART.md
EMhttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/EM/EM.md
FP—treehttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/FP/FP.md
GSP序列https://github.com/KeKe-Li/tutorial/blob/master/assets/src/GSP/GSP.md
协同过滤https://github.com/KeKe-Li/tutorial/blob/master/assets/src/CF/CF.md
BIRCHhttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/BIR/BIR.md
Prefixspanhttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/PN/PN.md
PageRankhttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/PRK/PRK.md
AdaBoosthttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/ABT/ABT.md
CBAhttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/CBA/CBA.md
KNNhttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/KNN/KNN.md
Hopfield神经网络https://github.com/KeKe-Li/tutorial/blob/master/assets/src/HPD/HPD.md
决策树https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.md
聚类分析https://github.com/KeKe-Li/tutorial/blob/master/assets/src/CAS/CAS.md
关联规则https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ARS/ARS.md
支持向量机（SVM）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/SVM/SVM.md
https://patch-diff.githubusercontent.com/flyfire100/tutorial#算法模型
回归算法https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RAM/RAM.0.1.md
线性回归https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RAM/RAM.0.2.md
逻辑回归https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RAM/RAM.0.3.md
多元自适应回归(MARS)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RAM/RAM.0.4.md
本地散点平滑估计(LOESS)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RAM/RAM.0.5.md
基于实例的学习算法https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BA/BA.0.1.md
K-近邻算法（KNN）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BA/BA.0.2.md
学习矢量化（LVQ）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BA/BA.0.3.md
自组织映射算法（SOM）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BA/BA.0.4.md
局部加权学习算法（LWR）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BA/BA.0.5.md
正则化算法https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RGN/RGN.0.1.md
岭回归（Ridge Regression）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RGN/RGN.0.2.md
LASSO（Least Absolute Shrinkage and Selection Operator）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RGN/RGN.0.3.md
弹性网络(Elastic Net)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RGN/RGN.0.4.md
最小角回归(LARS)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/RGN/RGN.0.5.md
决策树算法https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.0.1.md
分类和回归树（CART）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.0.2.md
ID3算法(Iterative Dichotomiser 3)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.0.3.md
CHAID（Chi-squared Automatic Interaction Detection)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.0.4.md
随机森林（Random Forest）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.0.5.md
多元自适应回归样条（MARS）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.0.6.md
梯度推进机（Gradient Boosting Machine,GBM）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DT/DT.0.7.md
贝叶斯算法https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BNS/BNS.0.1.md
朴素贝叶斯(Naive Bayes)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BNS/BNS.0.2.md
高斯朴素贝叶斯(Gaussian Naive Bayes)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BNS/BNS.0.3.md
多项式朴素贝叶斯(Multinomial Naive Bayes)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BNS/BNS.0.4.md
平均单依赖估计量（Averaged One-Dependence Estimators）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BNS/BNS.0.5.md
贝叶斯网络（Bayesian Belief Network）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/BNS/BNS.0.6.md
基于核的算法https://github.com/KeKe-Li/tutorial/blob/master/assets/src/KBO/KBO.0.1.md
支持向量机（SVM）https://github.com/KeKe-Li/tutorial/blob/master/assets/src/KBO/KBO.0.2.md
径向基函数（Radial Basis Function ，RBF)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/KBO/KBO.0.3.md
线性判别分析（Linear Discriminate Analysis ，LDA)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/KBO/KBO.0.4.md
聚类算法(Cluster analysis)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/CA/CA.0.1.md
K-均值(K-Means Algorithm)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/CA/CA.0.2.md
模糊c-均值聚类算法(Fuzzy C-means Algorithm)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/CA/CA.0.3.md
期望最大化(Expectation-Maximization)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/CA/CA.0.4.md
聚类分析(Cluster Analysis)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/CA/CA.0.5.md
关联规则学习(Association Rule Learning)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ARL/ARL.0.1.md
先验算法(Apriori Algorithm)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ARL/ARL.0.2.md
Eclat算法(Eclat Algorithm)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ARL/ARL.0.3.md
FP-growth算法(FP-Growth Algorithm)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ARL/ARL.0.4.md
人工神经网络(Artificial Neural Network)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.1.md
自动编码器(Autoencoder)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.2.md
反向传播(Backpropagation)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.3.md
递归神经网络(Recurrent Neural Network)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.4.md
多层感知器(Multilayer Perceptron)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.5.md
玻尔兹曼机(Boltzmann Machine)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.6.md
卷积神经网络(Convolutional Neural Network)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.7.md
Hopfield网络(Hopfield Network)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.8.md
径向基函数网络(Radial Basis Function Network)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.9.md
受限玻尔兹曼机(Restricted Boltzmann Machine)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.10.md
自组织映射(Self-Organizing Map)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.11.md
脉冲神经网络(Spiking Neural Network)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/ANN/ANN.0.12.md
深度学习(Deep Learning)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DL/DL.0.1.md
深度信念网络(Deep Belief Machines)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DL/DL.0.2.md
深度卷积神经网络(Deep Convolutional Neural Networks)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DL/DL.0.3.md
深度递归神经网络(Deep Recurrent Neural Networks)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DL/DL.0.4.md
分层时间记忆(Hierarchical Temporal Memory)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DL/DL.0.5.md
堆叠自动编码器(Stacked AutoEncoder)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DL/DL.0.6.md
生成式对抗网络(Generative Adversarial Networks)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DL/DL.0.7.md
降维算法(Dimensionality Reduction Algorithm)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.1.md
主成分分析法(Principal Component Analysis)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.2.md
多维缩放(Mutiple Dimensional Scaling)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.3.md
线性判别分析(Linear Discriminant Analysis)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.4.md
等度量映射(IsometricMapping,Isomap)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.5.md
局部线性嵌入(Locally Linear Embedding)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.6.md
拉普拉斯特征映射(Laplacian Eigenmaps)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.7.md
t－分布随机近邻嵌入(t-SNE)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.8.md
深度自动编码器(Deep Autoencoder Networks)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/DRA/DRA.0.9.md
集成算法(Ensemble Learning)https://github.com/KeKe-Li/tutorial/blob/master/assets/src/EL/EL.0.1.md
Boostinghttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/EL/EL.0.2.md
Bagginghttps://github.com/KeKe-Li/tutorial/blob/master/assets/src/EL/EL.0.3.md
AdaBoosthttps://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master
堆叠泛化（混合）https://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master
GBM 算法https://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master
GBRT 算法https://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master
随机森林https://patch-diff.githubusercontent.com/flyfire100/tutorial/blob/master
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https://patch-diff.githubusercontent.com/flyfire100/tutorial#机器学习的基础
https://patch-diff.githubusercontent.com/flyfire100/tutorial#参考书籍
同济线性代数教材https://github.com/KeKe-Li/book/blob/master/AI/%E5%90%8C%E6%B5%8E%E7%BA%BF%E6%80%A7%E4%BB%A3%E6%95%B0%E6%95%99%E6%9D%90.pdf
同济高等数学第六版上下册https://github.com/KeKe-Li/book/blob/master/AI/%E5%90%8C%E6%B5%8E%E9%AB%98%E7%AD%89%E6%95%B0%E5%AD%A6%E7%AC%AC%E5%85%AD%E7%89%88%E4%B8%8A%E4%B8%8B%E5%86%8C.pdf
概率论与数理统计同济大学https://github.com/KeKe-Li/book/blob/master/AI/%E6%A6%82%E7%8E%87%E8%AE%BA%E4%B8%8E%E6%95%B0%E7%90%86%E7%BB%9F%E8%AE%A1%E5%90%8C%E6%B5%8E%E5%A4%A7%E5%AD%A6.pdf
凸优化理论https://github.com/KeKe-Li/book/blob/master/AI/%E5%87%B8%E4%BC%98%E5%8C%96%E7%90%86%E8%AE%BA.pdf
机器学习-周志华https://github.com/KeKe-Li/book/blob/master/AI/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0.pdf
面向机器智能的TensorFlow实践https://github.com/KeKe-Li/book/blob/master/AI/%E9%9D%A2%E5%90%91%E6%9C%BA%E5%99%A8%E6%99%BA%E8%83%BD%E7%9A%84TensorFlow%E5%AE%9E%E8%B7%B5%20(%E6%99%BA%E8%83%BD%E7%B3%BB%E7%BB%9F%E4%B8%8E%E6%8A%80%E6%9C%AF%E4%B8%9B%E4%B9%A6)_.pdf
机器学习https://github.com/KeKe-Li/book/blob/master/AI/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0.pdf
数学之美https://github.com/KeKe-Li/book/blob/master/AI/%E6%95%B0%E5%AD%A6%E4%B9%8B%E7%BE%8E.pdf
深度学习https://github.com/KeKe-Li/book/blob/master/AI/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0Deep%20Learning.pdf
神经网络和深度学习https://github.com/KeKe-Li/book/blob/master/AI/%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%92%8C%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0.pdf
梯度下降https://github.com/KeKe-Li/book/blob/master/AI/%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D.pdf
无监督神经元https://blog.openai.com/unsupervised-sentiment-neuron/
Tensorflow实践https://tensorflow.feisky.xyz/install/cpu.html
Artificial Intelligencehttps://github.com/owainlewis/awesome-artificial-intelligence
Tensorflow新手入门http://www.tensorfly.cn/tfdoc/tutorials/mnist_beginners.html
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