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卷积神经网络与视觉计算[中文PDF]

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发表于 2025-2-26 20:36:57 | 显示全部楼层 |阅读模式
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内容简介

覆盖内容主要包括设计和开发卷积神经网络架构的一些基本知识。对于那些想要学习或构建深度视觉系统的工程师或学生来说,这会是一本非常好的入门读物,可以帮助他们快速地进入这个领域。本书还提供了丰富的理论知识和实操案例,以及一系列完备的工具包,以帮助初学者获得在理解和构建卷积神经网络(CNN)时所必要的基本信息。本书的重点将集中在卷积神经网络的基础部分,而不会涉及在高级课程中才出现的一些概念(CNN相关话题)。

作者简介

拉加夫;维凯特森(Ragav Venkatesan)他是ASU的视觉表示和处理小组的一名研究助理,曾在机器学习、模式识别、视频处理和计算机视觉等多个研究生课程中担任助教。他是机器学习和计算机视觉领域的几个期刊的同行评审和会议审稿人。

李宝新(Baoxin Li)

目前是亚利桑那州立大学计算机科学与工程专业的教授和主任。从2000年到2004年,他任美国夏普实验室的高级研究员,领导研发夏普的HiMPACT体育技术。他还曾是俄勒冈州波特兰州立大学的副教授。他拥有18项美国专利,目前的研究兴趣包括计算机视觉和模式识别、多媒体、社会计算、机器学习和辅助技术。2001年和2004年,他获得夏普实验室总裁奖。2002年,他获得了夏普实验室年度发明者奖,还曾获得国家自然科学基金会职业奖。





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