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Google 和计算机历史博物馆发布 AlexNet 源代码
#Google

Google 和计算机历史博物馆联合公布了 AlexNet 的源代码,代码发布在博物馆的 GitHub 账户上,采用 BSD 2-Clause "Simplified" 许可证。AlexNet 是一种卷积神经网络 (CNN),它在 2012 年发布时被认为改变了 AI 领域,代表着深度学习能做到传统 AI 技术无法做到的事情,在 AI 发展中具有里程碑意义。AlexNet 能以接近人类的正确率准确识别照片中的物体。它源自多伦多大学研究生 Alex Krizhevsky、Ilya Sutskever 及其导师 Geoffrey Hinton 的工作,证明深度学习能胜过传统的计算机视觉方法。Google 在 2013 年收购了研究团队创办的 DNNresearch 公司,从而拥有了其知识产权。
github.com/computerhistory/AlexNet-Source-Code
Ars:You can now download the source code that sparked the AI boom



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Google 和计算机历史博物馆发布 AlexNet 源代码
#Google

Google 和计算机历史博物馆联合公布了 AlexNet 的源代码,代码发布在博物馆的 GitHub 账户上,采用 BSD 2-Clause "Simplified" 许可证。AlexNet 是一种卷积神经网络 (CNN),它在 2012 年发布时被认为改变了 AI 领域,代表着深度学习能做到传统 AI 技术无法做到的事情,在 AI 发展中具有里程碑意义。AlexNet 能以接近人类的正确率准确识别照片中的物体。它源自多伦多大学研究生 Alex Krizhevsky、Ilya Sutskever 及其导师 Geoffrey Hinton 的工作,证明深度学习能胜过传统的计算机视觉方法。Google 在 2013 年收购了研究团队创办的 DNNresearch 公司,从而拥有了其知识产权。
github.com/computerhistory/AlexNet-Source-Code
Ars:You can now download the source code that sparked the AI boom

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