Gradient Descent is a variety of neighborhood look for that optimizes a list of numerical parameters by incrementally changing them to minimize a reduction function. Variants of gradient descent are commonly accustomed to teach neural networks.[80] This philosophical position was impressed through the work of AI researchers and cognitive experts https://www.devkaffe.com/
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