Gradient descent is the most commonly used training algorithm. Momentum is a common way to augment gradient descent such that gradient in each step is accumulated over past steps to enable the algorithm to proceed in a smoother fashion towards the minimum. RMS prop attempts to adjust learning rate for each iteration in an automated…
What are the optimization algorithms typically used in a neural network ?
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