Machine Learning, Deep Learning, Neural Networks, Optimization Algorithms, Adam.
If dw > 0, then a weight w is decreased by α. If dw < 0, then a weight w is increased by α. To sum it up, if vₜ = dw², then model weights can only be changed by ±α. Though this approach works sometimes, it is still not flexible the algorithm becomes extremely sensitive to the choice of α and