Machine learning method for continual learning and electronic device

An electronic device for continual learning, comprising:

• a storage medium, storing a plurality of modules;
• and
• a processor, coupled to the storage medium and executes the modules, wherein the modules comprise:
• an image capturing module, capturing an input image;
• an inference module, performing feature extraction on the input image by a plurality of sub-models to obtain a plurality of feature maps, wherein the sub-models correspond to a plurality of tasks, the sub-models are determined by a neural network model and a plurality of channel-wise masks, the feature maps are converted into a plurality of energy scores, a target sub-model corresponding to a target task of the tasks is selected from the sub-models according to the energy scores, and a prediction result corresponding to the target task is output by the target sub-model.