- the goal: given an input, output the same thing
- the challenge is that the model looks like this:
- the model needs to learn an encoded representation of the data before reconstructing it in the decoder
- in an autoencoder, the dimension of the input is always the same as the dimension of the output.
- cause the goal is to reconstruct the original input