Hi Kusal,
In my understanding, you want to identify which of the input features has been extracted during the encoding process in an autoencoder.
Currently there might be no direct way to extract this information. However, as a workaorund you can consider exracting the encoder weights and biases using the EncoderWeights and EncoderBiases properties of the AutoEncoder object obtained afetr training the model.
The following code snippet might demonstrates how to obtain the biases and weights
autoenc = trainAutoencoder(X);
W = autoenc.EncoderWeights;
b = autoenc.EncoderBiases;
h = autoenc.EncoderTransferFunction;
The input(X) and the encoded vector(Z) are related to each other through the following relation:
This can help us to understand which of the input vector components have been extracted as part of the hidden output.
Hope this helps!
