Gradient Descent is really a kind of local search that optimizes a set of numerical parameters by incrementally adjusting them to attenuate a loss function. Variants of gradient descent are commonly utilized to prepare neural networks.[eighty] In reinforcement Understanding, the agent is rewarded for good responses and punished for lousy https://www.devkaffe.com/
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