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CNTK -微软的开源深度学习工具包
CNTK - Microsoft’s open-source deep-learning toolkit |
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| 课程网址: |
http://videolectures.net/kdd2016_tutorial_deep_learning_toolkit/
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| 主讲教师: |
Frank Seide; Amit Agarwal
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| 开课单位: |
微软
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| 开课时间: |
2016-09-16
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| 课程语种: |
英语
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| 中文简介: |
像微软产品组一样训练神经网络!本次演讲将介绍计算网络工具包(CNTK)，这是微软针对Windows和Linux的可扩展开源深度学习工具包。CNTK是一个强大的基于计算图的深度学习工具包，用于训练和评估深度神经网络。微软产品团队使用CNTK，例如创建Cortana（科尔塔纳）语音模型和网页排名。
本教程针对当前或未来的深度学习从业者，他们正在寻找一种易于使用、高效且可跨多机GPU集群用于实际工作负载的工具。
本教程假定有深度学习的基本知识。学员将了解CNTK的核心概念和用法，并练习使用CNTK进行图像识别和文本处理的神经网络训练。本教程将是您使用CNTK解决自己的真实世界深度学习任务的起点。
要运行这些示例，需要一台安装Windows 7+或Linux的笔记本电脑，建议使用支持cuda的GPU。
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| 课程简介: |
Train neural networks like Microsoft product groups! This talk will introduce the Computational Network Toolkit, or CNTK, Microsoft’s scalable open-source deep-learning toolkit for Windows and Linux. CNTK is a powerful computation-graph based deep-learning toolkit for training and evaluating deep neural networks. Microsoft product groups use CNTK, for example to create the Cortana speech models and web ranking.
This tutorial is targeted at current or future deep-learning practitioners looking for a tool that is easy to use yet efficient and scalable across multi-machine GPU clusters for real-world workloads.
The tutorial assumes basic knowledge of deep learning. Participants will get to understand CNTK’s core concepts and usage, and practice to run neural-network trainings with CNTK for image recognition and text processing. The tutorial will be a starting point for solving your own real-world deep-learning task with CNTK.
To run the examples, a laptop with Windows 7+ or Linux is required, and a CUDA-capable GPU is recommended.
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| 关 键 词: |
微软产品; 深度学习; 神经网络
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| 课程来源: |
视频讲座网
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| 数据采集: |
2023-04-10：chenxin01
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| 最后编审: |
2023-05-21：chenxin01
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| 阅读次数: |
36
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