GitHub

Ayush0922/Autoencoder-in-Python

An autoencoder is a type of unsupervised neural network that learns to represent input data in a compressed latent space. This compressed representation captures the essential features of the data ...
GitHub

how-do-i-use-a-python-tensorflow-autoencoder.md

An Autoencoder is a type of neural network that can be used to learn a compressed representation of data. It is composed of an encoder and a decoder, which are both neural networks. The encoder takes ...
IEEE

Rapidae: A Python Library for Creation, Experimentation, and Benchmarking of Autoencoder Models

Abstract: Autoencoders have proven successful across diverse applications such as data reconstruction, anomaly detection, and feature extraction, however, these advancements remain largely dispersed ...
C&EN

DPMGCDA: Deciphering circRNA–Drug Sensitivity Associations with Dual Perspective Learning and Path-Masked Graph Autoencoder

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

A series fault arc detection method based on denoising autoencoder and deep residual network

Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, China Given the problem that the ...