Connecting Edge AI Software with PyTorch, TensorFlow Lite, and ONNX Models copertina

Connecting Edge AI Software with PyTorch, TensorFlow Lite, and ONNX Models

Connecting Edge AI Software with PyTorch, TensorFlow Lite, and ONNX Models

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By Antonio Nevado.

Data scientists and others may have concerns moving PyTorch, TensorFlow, and ONNX models to edge AI software applications – MERA makes it easy and is model-agnostic.

PyTorch, TensorFlow, and ONNX are familiar tools for many data scientists and AI software developers. These frameworks run models natively on a CPU or accelerated on a GPU, requiring little hardware knowledge. But ask those same folks to move their applications to edge devices, and suddenly knowing more about AI acceleration hardware becomes essential – and perhaps a bit intimidating for the uninitiated.

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