Verfahren und System zur Ableitung eines Neuronalen Netzwerks in einer Logarithmischen Domäne

Details

Veröffentlichungs-Nr.

EP4411595

Aktenzeichen

EP24153677

Anmeldetag

24. Januar 2024

Veröffentlichung

31. Dezember 2025

Erteilung

31. Dezember 2025

Rechtsraum

EP

IPC

G06N3/048G06N3/0495// G06N3/0464G06N3/0442

Abstract

This disclosure relates generally to neural network inferencing, and more particularly, to a method and system for neural network inferencing in logarithmic domain. The conventional techniques include training a neural network in logarithmic domain and performing inferencing. This leads to less accuracy, challenge in converting large models and unable to perform optimization. The present disclosure converts a pre-trained neural network into logarithmic domain using a bit manipulation based logarithm number system technique wherein the neural network is pre-trained in real time or in logarithmic domain. The method converts the weights, neural network layers and activation function into logarithmic domain. The method uses a 32-bit integer variable to store a logarithm number which leads to memory efficiency. The disclosed method is used for inferencing of convolutional neural network for natural language processing, image recognition and so on.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete