A driving model training method, a driver recognition method and apparatus, a device, and a medium. The driving model training method comprises: obtaining training behavior data of a user, the training behavior data being associated with a user identifier (S11); obtaining, according to the training behavior data, training driving data associated with the user identifier (S12); obtaining, according to the user identifier, positive and negative samples from the training driving data (S13); and training an error backpropagation neural network model by using the positive and negative samples to obtain a target driving model (S14). The driving model training method resolves the problem of poor recognition effect of an existing driving model, and improves the accuracy of driver recognition
DRIVING MODEL TRAINING METHOD, DRIVER RECOGNITION METHOD AND APPARATUS, DEVICE, AND MEDIUM