refactor

KevinZonda · May 20, 2024 · 4487a26 · 4487a26
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diff --git a/1-Basic/1.3.2-MathExtra.ProbabilityTheory.md → 1-Basic/1.5-ProbabilityTheory.md b/1-Basic/1.3.2-MathExtra.ProbabilityTheory.md → 1-Basic/1.5-ProbabilityTheory.md
diff --git a/4-DeepLearning/CNN.md → 4-DeepLearning/4.4-CNN.md b/4-DeepLearning/CNN.md → 4-DeepLearning/4.4-CNN.md
diff --git a/4-DeepLearning/4.x-SelfAttention.md b/4-DeepLearning/4.x-SelfAttention.md
@@ -0,0 +1 @@
+# 自注意力机制与 Transformer
diff --git a/3-Unsupervised/VAE.md → 4-DeepLearning/4.x-VAE.md b/3-Unsupervised/VAE.md → 4-DeepLearning/4.x-VAE.md
diff --git a/Continue-Pathway.md b/Continue-Pathway.md
@@ -0,0 +1,17 @@
+# 接下来的路径
+
+在这之后，你可以选择继续根据不同的兴趣和目标选择不同的路径。以下是一些可能的路径：
+
+- 深度学习：
+  - [深度学习](./4-DeepLearning/README.md)
+
+- 机器学习：
+  - [数据挖掘与数据分析](./DataMining/README.md)
+  - [学习理论](./7-LearningTheory/README.md)
+
+- 机器视觉：
+  - [深度学习](./4-DeepLearning/README.md)
+
+- 自然语言处理：
+  - [深度学习](./4-DeepLearning/README.md)
+  - [序列模型](./5-SequenceModel/README.md)
diff --git a/DataMining/PCA.md b/DataMining/PCA.md
@@ -0,0 +1 @@
+# PCA 降维
diff --git a/DataMining/README.md b/DataMining/README.md
diff --git a/DataMining/RandomForest.md b/DataMining/RandomForest.md
diff --git a/DataMining/SVD.md b/DataMining/SVD.md
@@ -0,0 +1 @@
+# SVD
diff --git a/6-Optimisation/6.2-GradientDecent.md → MLPractice/GDVariants.md b/6-Optimisation/6.2-GradientDecent.md → MLPractice/GDVariants.md
diff --git a/OldSchool/AStar.md b/OldSchool/AStar.md
diff --git a/OldSchool/BFS.md b/OldSchool/BFS.md
diff --git a/OldSchool/CSP.md b/OldSchool/CSP.md
diff --git a/OldSchool/DFS.md b/OldSchool/DFS.md
diff --git a/OldSchool/QLearning.md b/OldSchool/QLearning.md
@@ -0,0 +1 @@
+# Q-Learning
diff --git a/OldSchool/README.md b/OldSchool/README.md
@@ -0,0 +1,5 @@
+# Old School
+
+适合怀旧和应试的朋友。
+
+如果不是必须，请跳过这一节。
diff --git a/SUMMARY.md b/SUMMARY.md
@@ -7,36 +7,51 @@
   - [高中数学回顾](./1-Basic/1.2-MathRecap.md)
   - [向量和矩阵](./1-Basic/1.3-LinearAlgebraBase.md)
   - [从导数到偏导数](./1-Basic/1.4-PartialDerivative.md)
-  - [额外的数学：概率论](./1-Basic/1.3.2-MathExtra.ProbabilityTheory.md)
+  - [概率论 [WIP]](./1-Basic/1.5-ProbabilityTheory.md)
 
 - [监督学习](./2-Supervised/README.md)
   - [线性回归](./2-Supervised/2.1-LinearRegression.md)
   - [梯度下降 GD](./2-Supervised/2.2-GD.md)
   - [线性回归与梯度下降](./2-Supervised/2.3-LinearRegressionGD.md)
   - [逻辑回归](./2-Supervised/2.4-LogisticRegression.md)
   - [非线性变换](./2-Supervised/2.5-NonLinearTransformation.md)
-  - [支持向量机 SVM](./2-Supervised/2.6-SVM.md)
+  - [支持向量机 SVM [WIP]](./2-Supervised/2.6-SVM.md)
   - [核技巧 Kernel Trick](./2-Supervised/2.7-KernelTrick.md)
 - [机器学习实践](./MLPractice/README.md)
   - [评估指标](./MLPractice/Metrics.md)
   - [过拟合和欠拟合](./MLPractice/OverfitUnderfit.md)
   - [数据集分割与验证](./MLPractice/Dataset.md)
+  - [梯度下降的变种](./MLPractice/GDVariants.md)
+- [Old School [WIP]](./OldSchool/)
+  - [约束问题 CSP [WIP]](./OldSchool/CSP.md)
+  - [广度搜索 BFS [WIP]](./OldSchool/BFS.md)
+  - [深度搜索 DFS [WIP]](./OldSchool/DFS.md)
+  - [A*算法 [WIP]](./OldSchool/AStar.md)
+  - [Q学习算法 [WIP]](./OldSchool/Q-Learning.md)
+- [接下来的路径](./Continue-Pathway.md)
 - [深度学习](./4-DeepLearning/README.md)
   - [感知机](./4-DeepLearning/4.1-Perceptron.md)
   - [多层感知机 MLP](./4-DeepLearning/4.2-MLP.md)
   - [计算图与反向传播](./4-DeepLearning/4.3-BP.md)
+  - [卷积神经网络 CNN](./4-DeepLearning/4.4-CNN.md)
   - [自编码器 AE](./4-DeepLearning/4.x-AE.md)
+  - [变分自编码器 VAE [WIP]](./4-DeepLearning/4.x-VAE.md)
   - [生成对抗网络 GAN](./4-DeepLearning/4.x-GAN.md)
+  - [自注意力机制与 Transformer [WIP]](./4-DeepLearning/4.x-SelfAttention.md)
 
 - [信息论](./3-InformationTheory/README.md)
   - [自信息与熵](./3-InformationTheory/1-InfoAndEntropy.md)
   - [联合熵、条件熵、散度与互信息](./3-InformationTheory/2-CondEntropyAndD.md)
 - [序列模型](./5-SequenceModel/README.md)
   - [循环神经网络 RNN](./5-SequenceModel/5.1-RNN.md)
   - [长短时记忆网络 LSTM](./5-SequenceModel/5.2-LSTM.md)
+  - [Transformer [WIP]](./5-SequenceModel/5.5-Transformer.md)
 - [优化](./6-Optimisation/README.md)
   - [凸函数](./6-Optimisation/6.1-Convex.md)
-  - [梯度下降的变种](./6-Optimisation/6.2-GradientDecent.md)
+- [数据挖掘与数据分析 [WIP]](./DataMining/README.md)
+  - [PCA [WIP]](./DataMining/PCA.md)
+  - [SVD [WIP]](./DataMining/SVD.md)
+  - [随机森林 [WIP]](./DataMining/RandomForest.md)
 - [学习理论](./7-LearningTheory/README.md)
 
 [代码附录](./Code.md)