Autoencoder Explained
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How does an autoencoder work?
How does an autoencoder work? Autoencoders are a type of neural network that reconstructs the input data its given. But we don't care about the output, we care about the hidden representation its learned. Its a lower dimensional compression of the input that preserves its features. We can use this learned representation
5 سال پیش
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است.
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