Areas where the problem space is continuous but the solution model isn't differentiable. An example would be a neural network over a discrete field. Back at u

Areas where the problem space is continuous but the solution model isn't differentiable. An example would be a neural network over a discrete field. Back at university I played around with boolean neural networks and this was one way of training them directly.