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Published on: November 19, 2023
The self-supervised learning approach can be described as “the machine predicts any part of the input from any observed part”.
Here, the model trains itself to learn one part of the input from another part of the input. The process of the self-supervised learning method is to identify any hidden part of the input from any unhidden part of the input.