Therefore, the autoencoder input and output both have 65 values -- 64 pixel grayscale ... If your raw data contains a categorical variable, such as "color" with possible values "red", "blue" or "green ...

To normalize numeric variables, I recommend using the ... Behind the scenes, the autoencoder uses tanh() activation on the hidden nodes and tanh() activation on the output nodes. The result of the ...

In the research, they proposed to use a traditional autoencoder to reconstruct the representations of rating information and auxiliary information. The reconstructed output preserves auxiliary ...