Archives for Applications of ZO In Deep Learning
Deep learning applications usually involve complex optimisation problems that are often difficult to solve analytically. Often the objective function itself may not be in analytically closed-form, which means that the objective function only permits function evaluations without any gradient evaluations. This is where Zeroth-Order comes in. Optimisation corresponding to the above types of problems falls…
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