A method for calculating how a neural network’s parameters contribute to its error during training. Those gradients are used by an optimisation method to adjust parameters; useful training still depends on data and evaluation.
A method for calculating how a neural network’s parameters contribute to its error during training. Those gradients are used by an optimisation method to adjust parameters; useful training still depends on data and evaluation.