Machine Learning, Deep Learning, Neural Networks, Optimization Algorithms, Adam.
converges much faster than gradient descent. With Momentum, there are also fewer risks in using larger learning rates, thus accelerating the training process. In Momentum, it is recommended to choose β close to 0.9. AdaGrad (Adaptive Gradient Algorithm) AdaGrad is another optimizer with the