eIQ MACHINE LEARNING SOFTWARE DEVELOPMENT ENVIRONMENT eIQ™ ML SOFTWARE
■OVERVIEW
●The NXP® eIQ (“edge intelligence”) ML software environment provides the key ingredients to do inference with neural network (NN) models on embedded systems and deploy ML algorithms on NXP microprocessors and microcontrollers for edge nodes. It includes inference engines, NN compilers, libraries, and hardware abstraction layers that support Google TensorFlow Lite, Glow, Arm®NN, Arm CMSIS-NN, and OpenCV.
●With NXP’s i.MX applications processors and i.MX RT crossover processors based on Arm Cortex®-A and M cores, respectively, embedded designs can now support deep learning applications that require high-performance data analytics and fast inferencing.
●eIQ software includes a variety of application examples that demonstrate how to integrate neural networks into voice, vision and sensor applications. The developer can choose whether to deploy their ML applications on Arm Cortex A, Cortex M, and GPUs, or for high-end acceleration on the neural processing unit of the i.MX 8M Plus
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i.MX 8M Plus 、 i.MX 8QM 、 i.MX 8QXP 、 i.MX 8M Mini 、 i.MX RT600 、 i.MX RT1050 、 i.MX 8M Quad 、 i.MX 8M Nano 、 i.MX RT1060 、 i.MX 8 Series |
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[ AI ][ ML application ][ Smart wearables ][ Intelligent factories ][ smart buildings ][ Healthcare ][ diagnostics ][ Augmented reality ][ Logistics ][ Public safety ] |
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Supplier and Product Introduction |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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2020/8/6 |
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REV 2 |
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EIQFS REV 2 |
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2.5 MB |
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