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This pull request addresses several spelling errors and inconsistencies in the capitalization of proper nouns within the documentation. ### Motivation and Context To improve the quality of the documentation, spelling errors and capitalization mistakes have been corrected. This ensures that the content is more accurate and easier to read.
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1.7 KiB
| title | nav_order | parent |
|---|---|---|
| Accelerate TensorFlow | 3 | Tutorials |
Accelerate TensorFlow model inferencing
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ONNX Runtime can accelerate inferencing times for TensorFlow, TFLite, and Keras models.
Get Started
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Export model to ONNX
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TensorFlow/Keras
{: .no_toc } These examples use the TensorFlow-ONNX converter, which supports TensorFlow 1, 2, Keras, and TFLite model formats.
- TensorFlow: Object detection (efficentdet)
- TensorFlow: Object detection (SSD Mobilenet)
- TensorFlow: Image classification (efficientnet-edge)
- TensorFlow: Image classification (efficientnet-lite)
- TensorFlow: Natural Language Processing (BERT)
- TensorFlow: Accelerate BERT model
- Keras: Image classification (Resnet 50)
TFLite
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