Optimizer, Gradient Descent, Machine Learning, Adam, Sgd.
rate alpha to alpha¹. We will define alpha¹ as follows. So, if we see the second equation it takes summation of squares of all the gradients until that unit. In the first equation, we can see, it starts with a fixed learning rate alpha. The epsilon value is 10^-8 it is value to prevent the