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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.
31 lines
1.7 KiB
Markdown
31 lines
1.7 KiB
Markdown
---
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title: Accelerate TensorFlow
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nav_order: 3
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parent: Tutorials
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---
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# Accelerate TensorFlow model inferencing
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{: .no_toc }
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ONNX Runtime can accelerate inferencing times for TensorFlow, TFLite, and Keras models.
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## Get Started
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* [End to end: Run TensorFlow models in ONNX Runtime](../tutorials/tf-get-started.md)
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## Export model to ONNX
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{: .no_toc }
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### TensorFlow/Keras
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{: .no_toc }
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These examples use the [TensorFlow-ONNX converter](https://github.com/onnx/tensorflow-onnx), which supports TensorFlow 1, 2, Keras, and TFLite model formats.
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* [TensorFlow: Object detection (efficentdet)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientdet.ipynb)
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* [TensorFlow: Object detection (SSD Mobilenet)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/ConvertingSSDMobilenetToONNX.ipynb)
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* [TensorFlow: Image classification (efficientnet-edge)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-edge.ipynb)
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* [TensorFlow: Image classification (efficientnet-lite)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-lite.ipynb)
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* [TensorFlow: Natural Language Processing (BERT)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/BertTutorial.ipynb)
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* [TensorFlow: Accelerate BERT model](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/transformers/notebooks/Tensorflow_Tf2onnx_Bert-Squad_OnnxRuntime_CPU.ipynb)
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* [Keras: Image classification (Resnet 50)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/keras-resnet50.ipynb)
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### TFLite
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{: .no_toc }
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* [TFLite: Image classification (mobiledet)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/mobiledet-tflite.ipynb)
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