Autoencoder
/ˈɔːtoʊɪnˌkoʊdər/
A neural network trained to reconstruct its input, learning compressed representations in the process.
In italiano: AutoencoderAutoencoders consist of an encoder that compresses input to a latent representation and a decoder that reconstructs the original input. Used for dimensionality reduction, denoising, and feature learning.
Examples
- Dimensionality reduction
- Image denoising
- Anomaly detection