G06N7005
Please help me predict the CPC LABEL for this patentPATENT ABSTRACT: In one embodiment an image is processed using a deep-learning model to obtain one or more first predictions. Each first prediction is a likelihood that a respective first concept in a set of first concepts is associated with the image. A feature vector is retrieved for the image. The feature vector is output from a processing layer of the deep-learning model for the image. The feature vector for the image is processed using a first linear model, where the first linear model is trained to detect one or more second concepts. One or more second predictions are obtained from the first linear model. Each second prediction is a likelihood that a respective second concept of the one or more second concepts is associated with the image.