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Deep Neural Networks (Part III). Sample selection and dimensionality reduction

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, 10-04-2017 at 05:36 PM (761 Views)

Contents

Introduction
1. Sample selection
2. Dimensionality reduction

2.1. Principal component analysis (PCA)
2.2. Independent component analysis (ICA)
2.3. Probabilistic principal component analysis (PPCA)
2.4. Autoencoder (nonlinear PCA)
2.5. Inverse nonlinear PCA (NLPCA)

3. Dividing the data set into the train/valid/test sets
Conclusion
Application

more...

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