How to Deploy Machine Learning Models on Mobile and Embedded Devices
TFLite supports many hardware platforms and includes capabilities like: 💪 Model optimization - Shrinks models using quantization, pruning, clustering and more with minimal accuracy loss. ⚡️ Hardware acceleration - Leverages GPU, DSP, NPU chips commonly available on mobile devices for faster inference.
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