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Supervised Learning

Massive Unlabeled data

Unsupervised Learning

Why needed

• Dimension reduction

• Preprocessing:Huge dimension, say 224*224, is hard to process

• Visualization:https://projector.tensorflow.org/

• Taking advantages of unsupervised data

• Compression, denoising, super-resolution...

无监督学习

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原文地址：https://www.cnblogs.com/nickchen121/p/10964187.html