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6. Hinge Loss which was introduced in class is not differentiable everywhere unlike log loss. Then show how we can use hinge
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Answer #1

The hinge Loss function, defined as f(a)mar(0, r) , is non-differentiable at 0. However, it is to be noted that while starting randomly at any point to calculate the gradient, encountering the point of non-differentiability is almost unlikely. Thus, we rely on subgradient at the point of non-differentiability.

Thus, the gradient of hinge loss is given as follows:

0, ifx<0

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