rmsprop loss
"RMSprop loss" refers to the Root Mean Square Propagation loss, which is a mathematical optimization algorithm used in machine learning to update the weight parameters of a neural network during training. It calculates the gradient of the loss function and adjusts the weights accordingly, taking into account the moving average of the squared gradients. This helps to prevent the oscillations that can occur with other optimization algorithms and leads to more stable training.
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