An aspect provides a computer-implemented method for training controls for an animation control rig using a neural network. The method comprises receiving 502 a combination of training data, wherein the combination of training data includes a first set of training data derived from image capture poses of a physical object and a second set of training data derived from posing an animation version of the physical object; receiving 504 a set of coarse error data derived from a first training process of the combination of training data, the first training process comprising passing at least some of the combination of training data to the neural network as a sequence of training steps; determining 506 a rate of change of training errors associated with the coarse error data; in response to detecting 512 a rate of change of training errors that crosses a rate of change threshold, during a second processing of the combination of training data, varying 514 a learning rate over time based on a slope of the rate of change of training errors.