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  1. docs.edgeimpulse.com › deploymentDeployment | Edge Impulse Documentation

    When building your impulse for deployment, Edge Impulse gives you the option of adding another layer of optimization to your impulse using the EON compiler. The EON Compiler lets you run neural networks using less RAM, and saving flash resource, while retaining the same accuracy compared to TensorFlow Lite for Microcontrollers.

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  3. docs.edgeimpulse.com › cli-installationInstallation | Documentation - Edge Impulse

    Installation. This Edge Impulse CLI is used to control local devices, act as a proxy to synchronise data for devices that don't have an internet connection, and to upload and convert local files. The CLI consists of seven tools:

  4. docs.edgeimpulse.com › deployment-blocksDeployment blocks | Documentation - Edge Impulse

    In this tutorial you'll learn how to use custom deployment blocks to create a new deployment target, and how to make this target available in the Studio for all users in the organization. Only available with Edge Impulse Enterprise Plan. Try our FREE Enterprise Trial today.

  5. studio.edgeimpulse.com › 286745 › lateststm32 - Deployment - Edge Impulse

    You can deploy your impulse to any device. This makes the model run without an internet connection, minimizes latency, and runs with minimal power consumption. Read more.

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  7. edgeimpulse.comEdge Impulse - The Leading Edge AI Platform

    Edge Impulse, the leading edge AI development platform, brings intelligence to any edge device. Our platform and in-house experts will accelerate your delivery of next generation products and solutions. Unlock sensor data. Reduce BOM cost, and time to market.

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  8. www.edgeimpulse.com › blog › announcing-dockerFrom the Cloud to the Edge: Docker Deployments ... - Edge Impulse

    Feb 22, 2024 · Our new Docker deployment method extends the familiar cloud deployment workflow to edge environments, making it easier for MLOps and infrastructure engineers to integrate and deploy Edge AI solutions.

  9. edgeimpulse.com › blog › run-your-model-locally-withRun Your Model Locally with the Edge Impulse C++ Library

    Feb 10, 2022 · Deploy your model as a C++ library; Running your impulse locally; C++ inference SDK library API reference; The first is a tutorial that walks you through the process of downloading the C++ library from an existing Edge Impulse library and setting up a local build environment on a Linux, Mac, or Windows machine to compile it. You will see how to ...