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

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Manage episode 367432837 series 3488687
Indhold leveret af EdgeCortix Inc.. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af EdgeCortix Inc. eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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.
Read the full blog here

  continue reading

6 episoder

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iconDel
 
Manage episode 367432837 series 3488687
Indhold leveret af EdgeCortix Inc.. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af EdgeCortix Inc. eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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.
Read the full blog here

  continue reading

6 episoder

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