An autoencoder is a specific type of neural network. The main disadvantage of using a neural autoencoder is that you must fine-tune the training parameters (max epochs, learning rate, batch size) and ...

A wrapper function signature might look something like dataset_similarity (p_file, q_file, ae_ld, ae_bs, ae_me) where ae_ld is the autoencoder latent dimension size, ae_bs is the autoencoder training ...