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Auto Encoders
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