In Praise of the Autoencoder

In praise of the autoencoder

Of all the machine learning algorithms, the most fascinating are neural networks. They don’t require statistical hypothesis or rigorous data preparation save for normalization.

The power of a neural network lies in its architecture, its activation functions, its regularization, etc.

Here’s an interesting article exploring a particular kind of neural network: the autoencoder.


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