首页> 外文期刊>Network Daily News >Reports on Multimedia from National Institute of Technology Patna Provide New Insights (A Recurrent Neural Network Based Deep Learning Model for Text and Non-text Stroke Classification In Online Handwritten Devanagari Document)
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Reports on Multimedia from National Institute of Technology Patna Provide New Insights (A Recurrent Neural Network Based Deep Learning Model for Text and Non-text Stroke Classification In Online Handwritten Devanagari Document)

机译:报告从研究所多媒体技术巴特那(一个提供新的见解基于递归神经网络的深入学习中风模型文本和非文本分类在线手写的梵文字母文档)

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By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Multimedia have been presented. According to news reporting originating from Bihar, India, by NewsRx editors, the research stated, “It is very common for human beings to include both text and non-text data in a handwritten document. Text portion contains alphabets, digits, and mathematical symbols, whereas non-text portion includes various graphical entities like flow chart, transition diagram, etc.”
机译:由一个新闻记者在网络新闻编辑每日新闻——多媒体数据详细的被提出。来自比哈尔,印度NewsRx编辑,这项研究说,“这对人类是很常见的包括文本和非文本数据一个手写文档。字母、数字和数学符号,而包括各种非文本部分图形实体流程图、过渡图,等等。”

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