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Typical gradient descent will get caught at a local minimum rather than a world minimal, causing a subpar network. In ordinary gradient descent, we just take all our rows and plug them into the similar neural network, Examine the weights, after which adjust them.Development and validation of an ultrasound-centered deep learning radiomics nomogram f