Autoencodeurs peu denses

Définition

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Sparse Auto Encoder

In sparse autoencoders, we can still use fully connected neurons with numbers equal to the image dimensionality. But still, by adding a sparsity regularization, we will be able to stop the neural network from copying the input.

Mainly, there are two ways to add sparsity constraints to deep autoencoders.
= L1 regularization, which we will use in this article.
* KL divergence, which we will address in the next article.

Source : debuggercafe