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An autoencoder is a neural network that learns to compress its own input and rebuild it. We start with the impossible-sounding task — squeeze a 49-pixel image down to two numbers and expand it back — then build the hourglass architecture, split it into encoder and decoder, and derive the reconstruction loss that trains the whole thing ...
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