Autoencoder for Denoising Images
- As input of the encoder we will give image with added noise (usually noise from Gaussian Distribution)
- And the output will be image without noise
- By training, autoencoder based on this input & output, it will learn to generate important latent features from noisy images
- And use that features to generate denoisy image
- Then this model can be used to denoise any noisy image
- This idea can be extended to any modal, i.e. text