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Support for Autoencoder made up of Dense Layers

Open expeon07 opened this issue 2 years ago • 2 comments

Hi, is an autoencoder layer with Dense layers supported by emlearn? I am thinking it's the same as an MLP implementation but I am getting errors when trying to convert the model.

Also, is it possible to deploy it on an Arduino Uno?

Thanks!

expeon07 avatar Apr 04 '22 15:04 expeon07

Can you provide the Python code for the model? And the error you get on conversion?

In general there are better tools for, such as NNoM or TFLite-micro for neural network models. But emlearn supports some simple cases, and can maybe be expanded to cover a couple more.

jonnor avatar Apr 12 '22 20:04 jonnor

Now that we have anomaly detection examples, it would be nice to add some simple dense AutoEncoders also there.

jonnor avatar Sep 20 '22 19:09 jonnor