Tag: autoencoders machine learning
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Use Case – Remove noise from images, generate new sample images
Autoencoders are a type of artificial neural network used for unsupervised learning tasks. They are designed to learn efficient representations of data, typically for the purpose of dimensionality reduction or data compression. The basic idea is to encode the input data into a lower-dimensional representation and then decode it back to the original input data.…