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100% 在线

1

## Concept learning

6 个视频 （总计 73 分钟）, 2 个阅读材料, 1 个测验
6 个视频
1-2 Hypotheses ,Relation between Instance Space and Hypotheses14分钟
1-3 The Find-S Algorithm10分钟
1-4 Version Space and The List-Then Eliminate Algorithm12分钟
1-5 The Candidate Elimination Algorithm15分钟
1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning12分钟
2 个阅读材料
NTU MOOC 課程問題詢問與回報機制1分钟

1 个练习
Week 1 Quiz30分钟
2

## Computational Learning Theory

8 个视频 （总计 120 分钟）
8 个视频
2-2 Setting 3, PAC Learnable10分钟
2-3 Exhausting the Version Space: Definition, Theorem ,Proof and some examples19分钟
2-4 Shatter, Dichotomy, VC dimension14分钟
2-5 Some examples and discussion about VC dimension14分钟
2-6 Upper and Lower Bounds on Sample Complexity with VC dimension, The Mistake Bound for Algorithms14分钟
2-7 Optimal Mistake Bound13分钟
2-8 The Weighted-Majority Algorithm and its Bound11分钟
1 个练习
Week 2 Quiz30分钟
3

## Classification

6 个视频 （总计 114 分钟）
6 个视频
3-2 Learning Decision Tree, Information19分钟
3-3 Generalization and Overfitting, Kai Square Pruning,Rule Post-Pruning22分钟
3-4 Model Evaluation: Metrics for Performance Evaluation, Methods for Model Comparison19分钟
3-5 Ensemble: Embedding, Bagging and Boosting13分钟
3-6 Support Vector Machine: Optimization, Soft Margins, and Kernel Trick21分钟
1 个练习
Week 3 Quiz24分钟
4

## Neural Network and Deep learning

9 个视频 （总计 151 分钟）
9 个视频
4-2 Single-Layer Network and Perceptron Learning Rule15分钟
4-3 Multi-Layer Perceptron, Back Propagation Learning, Decline of ANN10分钟
4-4 Cascade Correlation Neural Networks, Deep or Shallow Structure23分钟
4-5 Deep Learning: Convolutional Neural Networks17分钟
4-6 LeNet 5, Dropout, ReLU and the Variants, Maxout, Residual Net18分钟
4-7 Recurrent Networks, Long Short-Term Memory (LSTM), Neural Turing Machine, Memory-Augmented Neural Networks (MANN)15分钟
4-8 Autoencoder: Denoising Autoencoder, Stacked Autoencoder and Variational Autoencoder12分钟
4-9 Generative Adversarial Net (GAN), AE+GAN and Its Applications16分钟
1 个练习
Week 4 Quiz16分钟