/  Deep Learning Interview questions and answers   /  What are the different components in Autoencoders?
Different components in Autoencoders (i2tutorials)

What are the different components in Autoencoders?

Ans: An Autoencoder consists of three components namely


Encoder is also called as Input layer in Autoencoder. It encodes the input image and sends it into code layer or Bottleneck layer of Autoencoder.


Code is also called as Bottleneck layer of Autoencoder. It is the layer in between Encoder and Decoder. It is used to decide which aspects of observed data contains relevant information and what aspects can be rejected. Code represents the compressed input which is later fed to decoder.


Decoder decodes the encoded image back to the original dimension. The Decoded image is a lossy reconstruction of the original image and it is reconstructed from the latent space representation.

Leave a comment