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Self-supervised learning is a machine learning process where the model trains itself to learn one part of the input from another part of the input. It is also known as predictive or pretext learning. In this process, the unsupervised problem is transformed into a supervised problem by auto-generating the labels. To make use of the huge quantity ...
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