Edge Impulse Experts / synthetic_data_with_nvidia_replicator_and_edge_impulse_v2 Public

The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.

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MacBook Pro 16" 2020 (Intel Core i9 2.4GHz)

100 ms

264 kB

2048 kB

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Find the optimal architecture for your machine learning model

The EON™ Tuner will evaluate many candidate model architectures (selected based on your target device and latency requirements) concurrently to help you find the best performing architecture for your application.

The search process can take up to 6 hours to complete. While the EON Tuner is running you can view the progress on this page at any time.

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Access more parallel EON Tuner jobs for faster results, a fully customizable search space, and more model variant options.

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Target device

Define your target device requirements to inform model optimizations and performance calculations. No device yet? Use the default settings which you can change at any time.

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Specify the available RAM and ROM for the model's operation, along with the maximum allowed latency for your specific application. Not sure yet? Start with the defaults and modify them later on.

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