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16:19
YouTube
Machine learning classroom
Autoencoders
Autoencoders are neural networks trained to reconstruct their input. By forcing information through a constrained internal representation, they capture the essential structure of the data without using labels. This makes them a foundational tool for representation learning, where the objective is not prediction but structure discovery ...
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