neural networks
autoencoder
An autoencoder is a type of neural network used for unsupervised learning of efficient representations.
Expanded definition
Autoencoders consist of an encoder that compresses input data into a latent-space representation and a decoder that reconstructs the output from this representation. They are commonly used in dimensionality reduction and anomaly detection. A misconception is that autoencoders are only for generative tasks; they are also effective for feature extraction and denoising.
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