Genetic programming for partial layers of a deep learning model
Abstract:
An information processing device according to one embodiment includes a processor. The processor executes an acquisition step of acquiring a plurality of partial layers as a gene pool, the partial layers being candidates for elements of a deep learning model, a generation step of generating a new partial layer from the gene pool by using genetic programming, an evaluation step of evaluating each partial layer by incorporating, into a template of the deep learning model, each partial layer in the gene pool to which the new partial layer is added, and determining a plurality of partial layers to remain in the gene pool, and an output step of outputting the deep learning model into which the partial layer with a highest evaluation value is incorporated.
Information query
Patent Agency Ranking
0/0