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...
- CNN. The masked autoencoder (2022) extended ViT to work with unsupervised training. The vision transformer and the masked autoencoder, in turn, stimulated...
- algorithm". An adversarial autoencoder (AAE) is more autoencoder than GAN. The idea is to start with a plain autoencoder, but train a discriminator to...
- machine learning, particularly in variational inference, variational autoencoders, and stochastic optimization. It allows for the efficient com****tion...
- as gradient descent. classical examples include word embeddings and autoencoders. Self-supervised learning has since been applied to many modalities through...
- conditional text-to-image generation. LDM consists of a variational autoencoder (VAE), a modified U-Net, and a text encoder. The VAE encoder compresses...
- prin****l component analysis (PCA), Boltzmann machine learning, and autoencoders. After the rise of deep learning, most large-scale unsupervised learning...
- (instead of emitting a target value). Therefore, autoencoders are unsupervised learning models. An autoencoder is used for unsupervised learning of efficient...
- and to sp**** coding models used in deep learning algorithms such as autoencoder. The simplest training algorithm for vector quantization is: Pick a sample...