What is an Autoencoder? - Unite.AI
www.unite.ai › what-is-an-autoencoderSep 20, 2020 · The most basic architecture of an autoencoder is a feed-forward architecture, with a structure much like a single layer perceptron used in multilayer perceptrons. Much like regular feed-forward neural networks, the auto-encoder is trained through the use of backpropagation. Attributes of An Autoencoder
Intro to Autoencoders | TensorFlow Core
www.tensorflow.org › tutorials › generativeNov 11, 2021 · Intro to Autoencoders. This tutorial introduces autoencoders with three examples: the basics, image denoising, and anomaly detection. An autoencoder is a special type of neural network that is trained to copy its input to its output. For example, given an image of a handwritten digit, an autoencoder first encodes the image into a lower ...
Autoencoder - Wikipedia
en.wikipedia.org › wiki › AutoencoderBasic architecture. An autoencoder has two main parts: an encoder that maps the input into the code, and a decoder that maps the code to a reconstruction of the input. The simplest way to perform the copying task perfectly would be to duplicate the signal. Instead, autoencoders are typically forced to reconstruct the input approximately ...