Working With Microsoft Cognitive Toolkit (CNTK)
Microsoft Cognitive Toolkit (CNTK)
| Expert
- 16 videos | 51m 36s
- Includes Assessment
- Earns a Badge
Microsoft Cognitive Toolkit (CNTK) is an open source framework for distributed deep learning suitable for commercial applications. It's primarily used to develop neural networks but can also be used for machine learning and cognitive computing. It supports multiple languages and can easily be used in the cloud. These factors make CNTK a good fit for various AI projects. In this course, you'll explore the basic concepts required to work with Microsoft CNTK. You'll compare other frameworks with CNTK, examine the process of creating machine learning and deep learning models with CNTK, and learn how it can be used with several cloud services. You'll move on to learn where to access CNTK documentation, community, and installation guidelines. Finally, you'll use CNTK to predict diabetes using retina scans.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseDescribe the microsoft cognitive toolkit framework and examine the main ideas behind its useSpecify how cntk facilitates cognitive computingDetermine how cntk facilitates deep learningIdentify the benefits of using the cntk toolkitIdentify the primary approaches to implementing ai using python and cntkSpecify how cntk can be used with other languages such as c/c++, java, .net, and c#Compare cntk with other frameworks and classify the advantages and disadvantages of cntk
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Outline the process of creating machine learning models using cntkOutline the process of building deep learning models using cntkSpecify how cntk can be used in combination with cloud servicesFind key documents and resources for in-depth information about the cntk frameworkRecognize how to work with the cntk community on new updates and new releasesTroubleshoot cntk installation on windows and linuxUse the cntk framework to develop an ai-based diabetes predictor which utilizes retina scansSummarize the key concepts covered in this course
IN THIS COURSE
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2m 21s
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3m 28sUpon completion of this video, you will be able to describe the Microsoft Cognitive Toolkit framework and examine the main ideas behind its use. FREE ACCESS
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6m 10sAfter completing this video, you will be able to specify how CNTK facilitates cognitive computing. FREE ACCESS
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2m 11sIn this video, you will learn how CNTK facilitates deep learning. FREE ACCESS
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3m 14sDuring this video, you will learn how to identify the benefits of using the CNTK toolkit. FREE ACCESS
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3m 40sFind out how to identify the primary approaches to implementing AI using Python and the Microsoft Cognitive Toolkit. FREE ACCESS
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4m 55sUpon completion of this video, you will be able to specify how CNTK can be used with other languages such as C/C++, Java, .Net, and C#. FREE ACCESS
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3m 28sIn this video, learn how to compare CNTK with other frameworks and classify the advantages and disadvantages of CNTK. FREE ACCESS
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3m 1sIn this video, you will learn how to outline the process of creating machine learning models using the CNTK library. FREE ACCESS
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3m 11sIn this video, you will learn how to outline the process of building deep learning models using the CNTK library. FREE ACCESS
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4m 20sUpon completion of this video, you will be able to specify how CNTK can be used in combination with cloud services. FREE ACCESS
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53sIn this video, find out how to find key documents and resources for in-depth information about the CNTK framework. FREE ACCESS
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1m 35sAfter completing this video, you will be able to recognize how to work with the CNTK community on new updates and new releases. FREE ACCESS
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4m 19sIn this video, find out how to troubleshoot CNTK installation on Windows and Linux. FREE ACCESS
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3m 59sDuring this video, you will learn how to use the CNTK framework to develop an AI-based diabetes predictor that utilizes retina scans. FREE ACCESS
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51sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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