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Autoencoders
Autoencoders
Neural networks used for unsupervised learning that aim to learn efficient codings of input data. They consist of an encoder that maps the input to a latent space and a decoder that reconstructs the input from the latent space.
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GRU - Gated Recurrent Unit
GAN - Generative Adversarial Networks