METHOD FOR TRANSFERRING LEARNING FROM A FIRST CONVOLUTIONAL NEURAL NETWORK TO A SECOND CONVOLUTIONAL NEURAL NETWORK

摘要

The invention relates to a method, implemented by a computer (ORD), for transferring learning from a first convolutional neural network to a second convolutional neural network, comprising the following steps: a) learning by the first convolutional neural network of a database of images labelled according to a plurality of categories of the most specific level of the database, each image being able to be represented by a characteristic vector; b) for each of the categories of the most specific level, constructing at least one subcategory; c) relabelling the database of images with the set of subcategories, in order to form a database of relabelled images; d) learning by the second convolutional neural network of the database of re-labelled images.