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Support for Autoencoder made up of Dense Layers
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!
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.
Now that we have anomaly detection examples, it would be nice to add some simple dense AutoEncoders also there.