Abstract: This application relates to the field of artificial intelligence, and provides a neural network training method and apparatus. The method includes: obtaining a to-be-trained neural network; grouping parameters of the to-be-trained neural network, to obtain M groups of parameters, where M is a positive integer greater than or equal to 1; obtaining sampling probability distribution and training iteration step arrangement, where the sampling probability distribution represents a probability that each of the M groups of parameters is sampled in each training iteration step, and the training iteration step arrangement includes interval arrangement and periodic arrangement; freezing or stopping updating a sampled parameter group based on the sampling probability distribution and the training iteration step arrangement; and training the to-be-trained neural network based on the parameter group that is frozen or stopped updating.