System und Verfahren für Spärliche Vektorquantizierte Depp-Neuronale Netzwerke

Details

Veröffentlichungs-Nr.

EP4734001

Anmeldetag

21. Oktober 2025

Veröffentlichung

29. April 2026

Rechtsraum

EP

IPC

G06N3/063, G06N3/082

Abstract

A method for generating vector-quantized deep neural networks includes receiving a training dataset that includes one or more image, text information, sound information, training a neural model with the training dataset to adjust one or more parameters associated with one or more deep neural network layers, segmenting the one or more parameters associated with each of the one or more deep neural network layers into one or more segments based on a type and a size of each of the one or more deep neural network layers, generating one or more fixed codebook, wherein the fixed codebook include a predetermined number of codewords, replacing each of the one or more segments with one of the codewords, and in response to replacing the one or more segments with one of the codewords, outputting a trained neural model that utilizes the one or more fixed codebooks.

Anmelder

Firma

Robert Bosch GmbH

Land

🇩🇪 Deutschland