University of St Andrews Researcher Updates Knowledge of Machine Learning (Corre lations of Cross-Entropy Loss in Machine Learning)

圣安德鲁斯大学研究员更新机器学习知识(机器学习中交叉熵损失的相关关系)

Robotics & Machine Learning Daily News2024，Issue(Jun.13) ：15-16.

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University of St Andrews Researcher Updates Knowledge of Machine Learning (Corre lations of Cross-Entropy Loss in Machine Learning)

圣安德鲁斯大学研究员更新机器学习知识(机器学习中交叉熵损失的相关关系)

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摘要

由机器人与机器学习每日新闻的新闻记者兼新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx编辑在英国圣安德鲁斯的新闻报道，研究表明，"交叉熵损失对训练许多深度神经网络至关重要"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of St. Andrews, United Kingdom , by NewsRx editors, research stated, “Cross-entropy loss is crucial in training many deep neural networks.”

Key words

University of St Andrews/St. Andrews/U nited Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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