Autoencoder Loss vs. Other Networks: What's the CRITICAL Difference? (Deep Learning)
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Autoencoder Loss vs. Other Networks: What's the CRITICAL Difference? (Deep Learning)
How do Autoencoders actually learn? It boils down to their unique loss function! This video explains the specific role of the loss function in Autoencoders: its primary goal is to minimize the difference (the reconstruction error) between the original input and the reconstructed output generated by the decoder. By minimizing this error, the ...
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