AutoEncoder Resource

An autoencoder is an unsupervised learning technique for neural networks that learns efficient data representations (encoding) by training the network to ignore signal “noise.” Autoencoders can be used for image denoising, image compression, and, in some cases, even generation of image data.

• Autoencoders in Deep Learning: Tutorial & Use Cases
• Introduction to Autoencoders
• Autoencoder concepts
• autoencoder coursera course
• ML | Auto-Encoders