What are autoencoders, and what are they used for?
Instruction: Explain the structure of autoencoders and their common applications in machine learning.
Context: The question assesses the candidate's understanding of autoencoders, including their architecture, how they work, and their use cases, such as dimensionality reduction and anomaly detection.
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An autoencoder learns an encoder and a decoder: the encoder creates a representation, and the decoder tries to reconstruct an input from it...