An autoencoder is a kind of artificial network used to learn structured data coding in an unsupervised way. The goal of an autoencoder is to learn a representation for a set of data, commonly for dimension reduction, by training the network to completely ignore signal “noise”.

Objective</h3

• Auto Encoders
• What are Autoencoders?
• The need for Autoencoders
• Applications of Autoencoders
• Architecture of Autoencoders
• Properties & Hyperparameters
• Types of Autoencoders, How to Scrape Data from A Website

Case Studies

Kaggle Project on Auto Encoders