So what was the breakthrough that allowed deep nets to combat the vanishing gradient problem? The answer has two parts, the first of which involves the RBM, an algorithm that can automatically detect the inherent patterns in data by reconstructing the input.
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Geoff Hinton of the University of Toronto, a pioneer and giant in the field, was able to devise
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