mirror of https://github.com/kubeflow/examples.git
14 lines
842 B
Markdown
14 lines
842 B
Markdown
# Distributed TensorFlow Object Detection Training and Serving on K8s with [Kubeflow](https://github.com/kubeflow/kubeflow)
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This example demonstrates how to use `kubeflow` to train/serve an object detection model on an existing K8s cluster using
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the [TensorFlow object detection API](https://github.com/tensorflow/models/tree/master/research/object_detection)
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This example is based on the TensorFlow [Pets tutorial](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_pets.md).
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## Steps:
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1. [Setup a Kubeflow cluster](setup.md)
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2. [Submit a distributed object detection training job](submit_job.md)
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3. [Monitor your training job](monitor_job.md)
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4. [Export model](export_tf_graph.md)
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5. [Serve the model with GPU](tf_serving_gpu.md)
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6. [Submit a batch prediction job using GPU](submit_batch_predict.md)
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