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Ordinary gradient descent will get trapped at a neighborhood minimum amount rather then a global minimal, leading to a subpar network. In usual gradient descent, we choose all our rows and plug them to the same neural network, take a look at the weights, and after that regulate them.Generally, neural networks can perform the exact same tasks as cla