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openblas
About this tag
OpenBLAS is a high-performance, open-source implementation of the Basic Linear Algebra Subprograms (BLAS) library, optimized for modern processors. In the context of Windows and Microsoft Cognitive Toolkit (CNTK), OpenBLAS serves as a backend for accelerating linear algebra computations, which are critical for deep learning model evaluation. The tagged content discusses CNTK 2.1's support for model evaluation in UWP applications, where OpenBLAS can be leveraged to improve performance on Windows devices. This integration enables efficient execution of AI models locally, reducing latency and enabling offline capabilities in Windows Store apps. OpenBLAS is particularly relevant for developers working on machine learning and AI applications on Windows, offering a free and optimized alternative to proprietary BLAS libraries.
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...
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