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What are the different layers of Autoencoders? Explain briefly.

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An autoencoder contains three layers:

1. Encoder

The encoder is used to compress the input into a latent space representation. It encodes the input images as a compressed representation in a reduced dimension. The compressed images are the distorted version of the original image.

2. Code

The code layer is used to represent the compressed input which is fed to the decoder.

3. Decoder

The decoder layer decodes the encoded image back to its original dimension. The decoded image is a reduced reconstruction of the original image. It is automatically reconstructed from the latent space representation.

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