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Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments.
Features
- Visual layer-by-layer model inspection
- Analyze latency, memory usage, and compute load
- Supports TensorFlow Lite and other formats
- Browser-based UI with interactive visualizations
- Debug and optimize models for edge deployment
- Integrates with edge toolchains and runtimes
Project Samples
Categories
Artificial IntelligenceLicense
Apache License V2.0Follow Model Explorer
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