RMSprop optimizer adjusts the learning rates of each parameter based on the root mean square of the past gradients. It uses a moving average of the squared gradients to normalize the gradient updates
RMSprop optimizer adjusts the learning rates of each parameter based on the root mean square of the past gradients. It uses a moving average of the squared gradients to normalize the gradient updates and prevent oscillations in optimization.
