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Ordinary gradient descent can get trapped at an area minimum instead of a global minimal, resulting in a subpar network. In typical gradient descent, we get all our rows and plug them to the very same neural community, Look into the weights, and afterwards change them.Get rolling with deep learning! Conquer the basics of synthetic neural networks i