The invention relates to methods for generating a compressed version of an artificial neural network (12). The invention provides that the network (12) is operated as a teacher network (12) together with an artificial neural discriminator network (15) and an artificial neural school network (13), both arranged as GANs, Generative Neural Networks maintaining a configuration of the teacher network (12) unchanged and training the student network (13) by a predetermined GAN method (14) to generate a respective output such as the teacher network (12) to a plurality of predetermined input data sets (16) Discriminator network (15) is operated as a discriminator of the GAN method (14), and the trained student network (13) as the compressed version of the teacher network (12) is provided.
Method for producing a compressed version of an artificial neuronal network and device and storage medium / Belagiannis, Vasileios; Farshad, Azade; Galasso, Fabio. - (2018).
Method for producing a compressed version of an artificial neuronal network and device and storage medium
GALASSO, Fabio
2018
Abstract
The invention relates to methods for generating a compressed version of an artificial neural network (12). The invention provides that the network (12) is operated as a teacher network (12) together with an artificial neural discriminator network (15) and an artificial neural school network (13), both arranged as GANs, Generative Neural Networks maintaining a configuration of the teacher network (12) unchanged and training the student network (13) by a predetermined GAN method (14) to generate a respective output such as the teacher network (12) to a plurality of predetermined input data sets (16) Discriminator network (15) is operated as a discriminator of the GAN method (14), and the trained student network (13) as the compressed version of the teacher network (12) is provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.