Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
it would overstep the optimal value. If it is very low it takes tiny steps and takes a lot of steps to optimize. The updated weights are changed according to the following formula. w=w — alpha * |dE/dw| where w is the previous weight. With each epoch, the model moves the weights according to the