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Image classification is a key application of deep learning, and Microsoft Cognitive Toolkit (CNTK) 2.1 enables model evaluation for this task on UWP applications. This allows Windows developers to integrate AI-powered image classification directly into apps delivered via the Windows Store, performing local inference with low latency. The thread discusses how CNTK supports running trained models on Windows devices, balancing local and cloud compute for tasks like image recognition. It highlights the virtuous intelligence cycle where cloud training and local evaluation work together, making image classification accessible in Windows apps.
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    Cognitive Toolkit Model Evaluation in UWP

    We are excited the share with you that Microsoft Cognitive Toolkit (CNTK) 2.1 has added support for model evaluation on UWP applications. This means you can harness the power of deep learning in your Windows apps delivered via the Windows Store! Read on to find out how can infuse your apps with...
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    • c++ cloud computing cognitive toolkit computing power data insights deep learning edge image classification latency machine learning model evaluation nuget openblas pretrained models user interface uwp windows apps winrt
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