All Projects → kwichmann → PCA_and_autoencoders

kwichmann / PCA_and_autoencoders

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Dimensionality reduction

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PCA and autoencoders

Principal component analysis (PCA) is an example of dimensionality reduction.

Autoencoders generalize the idea to non-linear transformations.

The interactive Jupyter notebook let's you train such autoencoders yourself, and see the results.

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