Is it possible to implement sparse autoencoder with your lib?

[dims12]

Sparse autoencoder is an autoencoder with additional constraint that most coefficients tend to be zero, as described here: http://deeplearning.stanford.edu/wiki/index.php/Autoencoders_and_Sparsity

Is it possible to implement and train such a net with your lib?

[ivan-vasilev]

It wouldn't be a problem to implement it, but it's not available at the
moment. I can try to do it, but I'm not able to give you a specific time
frame for completion. But if you'd like to contribute you are more than
welcome and I'll assist in any way possible. Thanks.

On Mon, Jun 23, 2014 at 12:35 AM, dims12 [email protected] wrote:

Sparse autoencoder is an autoencoder with additional constraint that most
coefficients tend to be zero, as described here:
http://deeplearning.stanford.edu/wiki/index.php/Autoencoders_and_Sparsity

Is it possible to implement and train such a net with your lib?

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