METHOD FOR OPTIMIZING SELECTION OF SUITABLE NETWORK MODEL, APPARATUS ENABLING SELECTION, ELECTRONIC DEVICE, AND STORAGE MEDIUM

摘要

A method for automatically selecting a suitable network model for machine deep learning includes identifying a category of an input content and selecting a training set based on the identified category. Several matched network models are selected based on the identified category. A test network model is selected based on performance data corresponding to the matched network models, and the selected model is trained based on the input content and the selected training set. When an output result in a display interface is not satisfactory, an optimization operation is executed for adjusting the structure of the test network model. An apparatus, an electronic device, and a storage medium applying the method are also disclosed.