Neural Networks
Autoencoder
Neural Networks· Intermediate
Definition
A neural network trained to compress input data into a low-dimensional latent representation (encoder), then reconstruct the original input from it (decoder). Autoencoders learn efficient data representations without labels. Used for dimensionality reduction, anomaly detection, and as building blocks for generative models.
Tags
#compression#latent-space#dimensionality-reduction#unsupervised
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