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Standard gradient descent will get caught at a local minimum as opposed to a global minimal, resulting in a subpar network. In standard gradient descent, we acquire all our rows and plug them to the very same neural network, Have a look at the weights, then change them.S. Department of Defense and Intelligence Communities, Global and civilian Place