Tag: gradient clipping
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Gradient Clipping
Gradient clipping prevents exploding gradient problems by limiting on how large the adjustments to the neural network‘s weights can be during a single update. It imposes constraints on the magnitude of the calculated gradients during backpropagation, ensures that the resulting weight updates remain withing safe and manageable bounds, leading to stable and efficient training dynamics.…