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Ordinary gradient descent can get trapped at a local minimum rather then a worldwide minimum, leading to a subpar network. In standard gradient descent, we just take all our rows and plug them in the similar neural network, take a look at the weights, and then change them.Neural networks in deep learning can be used to predict stock values and prod