An Introduction to Autoencoders in Deep Learning

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Autoencoders (AEs) are a type of neural network architecture that is able to find a compressed representation of the input data such as image, video, text, speech, etc.

Autoencoders fall under unsupervised learning algorithms as they learn the compressed representation of the…

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Rukshan Pramoditha

Rukshan Pramoditha

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