Robotics & Machine Learning Daily News2024,Issue(Nov.22) :98-101.

Patent Application Titled 'Generating Synthetic Images As Training Dataset For A Machine Learning Network' Published Online (USPTO 20240371005)

在线发表的名为“生成合成图像作为机器学习网络的训练数据集”的专利申请(USPTO 20240371005)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :98-101.

Patent Application Titled 'Generating Synthetic Images As Training Dataset For A Machine Learning Network' Published Online (USPTO 20240371005)

在线发表的名为“生成合成图像作为机器学习网络的训练数据集”的专利申请(USPTO 20240371005)

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摘要

记者从发明人提供的背景资料中获得以下引述:机器学习是计算机科学的一个领域,旨在为计算机系统提供能力用数据“学习”(即逐步改进某一特定任务的表现),而不是明确地编程。机器学习的方法包括决策树学习、人工神经网络(例如,深度学习网络、支持向量机、遗传算法等。

Abstract

Reporters obtained the following quote from the background information supplied by the inventors:“Machine learning is a field of computer science that aims to provide computer systems with the abilityto “learn” (i.e., progressively improv e performance on a specific task) with data, without being explicitlyprogrammed . Approaches for machine learning include decision tree learning, artificial neu ral networks(e.g., deep learning networks, support vector machines, genetic alg orithms, and others.”

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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