Hi there,
I have been analyzing this kind of workflows relating to Autoencoders:
However, I am trying to use the Autoencoder as a dimensional reduction tool. That is to say, train the Autoencoder and then get the results in the mid point at the end of the encoder. I have done it in TensorFlow but I would like to do it with Knime. However, How could I get the model of the “encoder” if the model is trained as a whole?
Thanks in advance