1.

What are auto-encoders?

Answer»

Auto-encoders are learning NETWORKS. They TRANSFORM inputs into outputs with MINIMUM possible ERRORS. So, basically, this means that the output that we want should be almost equal to or as close as to input as follows. 

Multiple layers are added between the input and the output layer and the layers that are in between the input and the output layer are smaller than the input layer. It received unlabelled input. This input is encoded to reconstruct the input LATER.



Discussion

No Comment Found