Autoencoder

study note of LINK

1. Autoencoder

The Encoder generally uses a series of Dense and/or Convolutional layers to encode an image into a fixed length vector that represents the image a compact form,

while the Decoder uses Dense and/or Convolutional layers to convert the latent representation vector back into that same image or another modified image.

 

Practical applications of an Autoencoder network include:

• Denoising
• Image Reconstruction
• Image Generation
• Data Compression & Decompression