Standard gradient descent will get stuck at a neighborhood minimal rather then a worldwide minimum amount, resulting in a subpar community. In ordinary gradient descent, we take all our rows and plug them in to the identical neural network, Look into the weights, and then adjust them.Lapisan input memproses dan meneruskan knowledge ke lapisan lebih