Restore your Noisy Image Using Autoencoders
Autoencoder network designed to learn data representation using its bottleneck network architecture. Now, we will discover autoencoder use case for image restoration.
Autoencoder network designed to learn data representation using its bottleneck network architecture. Now, we will discover autoencoder use case for image restoration.
Generally, there are two popular basic variant of Generative AI: Autoencoders network and Generative Adversarial Network (GAN). In this series, we will discover the former one and leave the latter in another one.
Lately, I was working on a course project where we asked to review one of the modern DL papers from top latest conferences and make an experimental test with our own dataset. So, here I am thrilled to share with you about my exploration!