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首页> 外文期刊>Robotics & Machine Learning Daily News >Studies from Symbiosis International (Deemed University) Provide New Data on Machine Learning (Multimodal Co-learning: Challenges, Applications With Datasets, Recent Advances and Future Directions)
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Studies from Symbiosis International (Deemed University) Provide New Data on Machine Learning (Multimodal Co-learning: Challenges, Applications With Datasets, Recent Advances and Future Directions)

机译:研究国际(认为共生大学)提供新的机器学习的数据(多通道Co-learning:挑战,应用程序数据集、最新进展和未来方向)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating in Maharashtra, India, by NewsRx journalists, research stated, “Multimodal deep learning systems that employ multiple modalities like text, image, audio, video, etc., are showing better performance than individual modalities (i.e., unimodal) systems. Multimodal machine learning involves multiple aspects: representation, translation, alignment, fusion, and co-learning.”
机译:机器人技术与新闻记者新闻编辑机器学习每日新闻每日新闻——电流研究结果对机器学习出版。由NewsRx起源于马哈拉施特拉邦,印度记者,研究指出:“多通道深学习系统,采用多种形式如文本、图像、音频、视频等等,显示更好的性能比单独的模式(例如,单峰)系统。学习包括多个方面:表示、翻译、对齐、融合、和co-learning。”

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