Review — Stacked Denoising Autoencoders (Self-Supervised Learning)

One of the Earliest Reconstruction-Based Self-Supervised Learning Approaches, Using Denoising Autoencoders/Stacked Denoising Autoencoders

Stacked Autoencoder (Figure from Setting up stacked autoencoders)

Outline

1. Denoising Autoencoder

Denoising Autoencoder

2. Stacked Denoising Autoencoder

Stacking Denoising Autoencoders

3. Fine-Tuning for Image Classification

Fine-tuning of a deep network for classification
Training and Fine-Tuning of an Autoencoder (Figure from Setting up stacked autoencoders)

4. Experimental Results

Data sets (Characteristics of the 10 different problems considered)
Samples form the various image classification problems
Comparison of stacked denoising autoencoders (SDAE-3) with other models.

PhD, Researcher. I share what I've learnt and done. :) My LinkedIn: https://www.linkedin.com/in/sh-tsang/, My Paper Reading List: https://bit.ly/33TDhxG