1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchBrenda Pottshttps://www.microsoft.com/en-us/research/people/v-brpo/ONNX and ONNX Runtime - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="nO51wBY5qK"><a href="https://www.microsoft.com/en-us/research/video/onnx-and-onnx-runtime/">ONNX and ONNX Runtime</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/video/onnx-and-onnx-runtime/embed/#?secret=nO51wBY5qK" width="600" height="338" title="“ONNX and ONNX Runtime” — Microsoft Research" data-secret="nO51wBY5qK" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://www.microsoft.com/en-us/research/wp-content/uploads/2019/10/44347_ONNX-ONNXRuntime_video_10_2019_1280x720.jpg1280720What is the universal inference engine for neural networks? Tensorflow? PyTorch? Keras? There are many popular frameworks out there for working with Deep Learning and ML models, each with their pros and cons for practical usability for product development and/or research. Once you decide what to use and train a model, now you need to […]