Clustering image encodings with perceptual autoencoders
Autoencoders are used to learn efficient data encodings in an unsupervised manner. When using image data, autoencoders are normally trained by minimizing their reconstruction error (typically the mean squared error or MSE) in an identity mapping task. The error then represents the difference between the input image and the reconstruction …
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