Definition of Autoencoder. Meaning of Autoencoder. Synonyms of Autoencoder

- An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning). An autoencoder learns...
- In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling. It...
- algorithm". An adversarial autoencoder (AAE) is more autoencoder than GAN. The idea is to start with a plain autoencoder, but train a discriminator to...
- of the traditional Transformer Architecture is also used. In Masked Autoencoder, there are two ViTs put end-to-end. The first one takes in image patches...
- as gradient descent. classical examples include word embeddings and autoencoders. SSL has since been applied to many modalities through the use of deep...
- NSynth (a portmanteau of "Neural Synthesis") is a WaveNet-based autoencoder for synthesizing audio, outlined in a paper in April 2017. The model generates...
- Variational autoencoder These are inspired by Helmholtz machines and combines probability network with neural networks. An Autoencoder is a 3-layer CAM...
- often achieved using autoencoders, which are a type of neural network architecture used for representation learning. Autoencoders consist of an encoder...
- store and retrieve multidimensional aperiodic signals. An oscillatory autoencoder has also been demonstrated, which uses a combination of oscillators and...
- model for existing information from text can be done by variational autoencoder and generative adversarial network (GAN). There are different models...