Abstract: A machine learning method for continual learning is provided, and the method includes following steps. Capturing an input image. Performing feature extraction on the input image by a plurality of sub-models to obtain a plurality of feature maps, where the sub-models correspond to a plurality of tasks, and the sub-models are determined by a neural network model and a plurality of channel-wise masks. Converting the feature maps into a plurality of energy scores. Selecting a target sub-model corresponding to a target task of the tasks from the sub-models according to the energy scores. Outputting a prediction result corresponding to the target task by the target sub-model.