Introduction to Autoencoders
Autoencoders are a class of neural networks that aim to learn efficient representations of input data by encoding and then reconstructing it. They comprise two main parts: the encoder, which compresses the input data into a latent representation, and the decoder, which reconstructs the original data from this latent representation. By minimizing the…
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