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What do you understand by deep autoencoders?
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Answer / Ganesh Yadav
Deep Autoencoders are a type of neural network that can learn to compress and reconstruct data. They consist of an encoder (which maps the input data into a compressed representation) and a decoder (which transforms the compressed data back into the original format). Deep Autoencoders have applications in tasks like dimensionality reduction, anomaly detection, and generating new data samples.
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