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content/learning-paths/microcontrollers/cmsis-dsp/cmsis-dsp-tests.md

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# Do not modify these elements
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layout: "learningpathall"
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---
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The [CMSIS-DSP tests](https://github.com/ARM-software/CMSIS-DSP/blob/main/Testing) are publicly available, and are used for validation of the library. They can be run on the [Corstone reference design](https://www.arm.com/products/silicon-ip-subsystems/), for example [Corstone-300](https://developer.arm.com/Processors/Corstone-300) Fixed Virtual Platform (FVP).
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The [CMSIS-DSP tests](https://github.com/ARM-software/CMSIS-DSP/blob/main/Testing) are publicly available, and are used for validation of the library. They can be run on the [Corstone reference systems](https://www.arm.com/products/silicon-ip-subsystems/), for example [Corstone-300](https://developer.arm.com/Processors/Corstone-300) Fixed Virtual Platform (FVP).
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These tests are primarily for Arm internal use, but users can replicate if they wish. Else proceed to the [next step](/learning-paths/microcontrollers/cmsis-dsp/_review/).
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content/learning-paths/microcontrollers/mlek/build.md

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The [Arm ML Evaluation Kit (MLEK)](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ml-embedded-evaluation-kit) provides a number of ready-to-use ML applications. These allow you to investigate the embedded software stack and evaluate performance on the Cortex-M55 and Ethos-U55 processors.
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You can use the MLEK source code to build sample applications and run them on the [Corstone platform](https://www.arm.com/products/silicon-ip-subsystems/), for example the [Corstone-300](https://developer.arm.com/Processors/Corstone-300) Fixed Virtual Platform (FVP).
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You can use the MLEK source code to build sample applications and run them on the [Corstone reference systems](https://www.arm.com/products/silicon-ip-subsystems/), for example the [Corstone-300](https://developer.arm.com/Processors/Corstone-300) Fixed Virtual Platform (FVP).
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## Before you begin
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content/learning-paths/microcontrollers/nav-mlek/intro.md

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Machine Learning (ML) applications follow the same pattern, but introduce additional complexity around the inclusion of machine learning models, software libraries for ML operations, and driver software to program neural processing unit (NPU) hardware.
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The [Corstone reference designs](https://www.arm.com/products/silicon-ip-subsystems) are the basis of many ML IoT solutions. These designs offer a jump start on building hardware for ML applications. There are many software tools and examples available to get started creating ML applications, but you may find it difficult to see the big picture and understand which tools and software are best for you. You can review the differences between the Corstone platforms on the [Arm Developer Homepage for Corstone](https://developer.arm.com/documentation/102801/latest/).
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The [Corstone reference systems](https://www.arm.com/products/silicon-ip-subsystems) are the basis of many ML IoT solutions. These designs offer a jump start on building hardware for ML applications. There are many software tools and examples available to get started creating ML applications, but you may find it difficult to see the big picture and understand which tools and software are best for you. You can review the differences between the Corstone reference systems on the [Arm Developer Homepage for Corstone](https://developer.arm.com/documentation/102801/latest/).
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This Learning Path is to help you get started with Cortex-M and Ethos-U machine learning application development.

content/learning-paths/microcontrollers/nav-mlek/platforms.md

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### MPS3 FPGA prototyping board
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The [Arm MPS3 FPGA Prototyping Board](https://www.arm.com/products/development-tools/development-boards/mps3/) can be programmed with [FPGA images](https://developer.arm.com/downloads/-/download-fpga-images/) for the for the Corstone-300, Corstone-310 and Corstone-1000 reference designs. The FPGA images are good for early software development.
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The [Arm MPS3 FPGA Prototyping Board](https://www.arm.com/products/development-tools/development-boards/mps3/) can be programmed with [FPGA images](https://developer.arm.com/downloads/-/download-fpga-images/) for the for the Corstone-300, Corstone-310 and Corstone-1000 reference packages. The FPGA images are good for early software development.
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MPS3 is the recommended solution for evaluating performance, but boards are in short supply and may be difficult to obtain.
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Ecosystem FVPs are free-of-charge and target a variety of applications. They run on Linux and Windows.
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The Corstone platforms are available on the [Arm Ecosystem FVP page](https://developer.arm.com/downloads/-/arm-ecosystem-fvps/). General ecosystem FVP setup instructions are provided in the [install guide](/install-guides/fm_fvp/eco_fvp/).
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The Corstone reference systems are available on the [Arm Ecosystem FVP page](https://developer.arm.com/downloads/-/arm-ecosystem-fvps/). General ecosystem FVP setup instructions are provided in the [install guide](/install-guides/fm_fvp/eco_fvp/).
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The Ecosystem FVP can be used in conjunction with [Keil MDK](https://developer.arm.com/Tools%20and%20Software/Keil%20MDK) or [Arm Development Studio](https://developer.arm.com/Tools%20and%20Software/Arm%20Development%20Studio).
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Keil MDK Professional Edition also provides these virtual platforms.
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### Arm Virtual Hardware
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[Arm Virtual Hardware](https://www.arm.com/products/development-tools/simulation/virtual-hardware/) provides two cloud-based solutions to access Corstone platforms. These are intended for use as software test and validation environments suitable for CI/CD integration.
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[Arm Virtual Hardware](https://www.arm.com/products/development-tools/simulation/virtual-hardware/) provides two cloud-based solutions to access Corstone reference systems. These are intended for use as software test and validation environments suitable for CI/CD integration.
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Both versions of AVH offer FVPs. Choose the one which best matches your preferences. You can use your AWS account and pay for the compute you use or pay for the hardware-as-a-service directly using your Arm account. Both methods offer free trials.
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