Neural network training involves adjusting network parameters to minimise a loss function and thereby enable models to extract meaningful patterns from data. Fundamental optimisation schemes include ...
The array of neural network training techniques that invoke optimization but rely on ad hoc modification for validity suggests that optimization-based training is misguided. Shortcomings of ...