mirror of https://github.com/kubeflow/examples.git
* Added tutorial for object detection distributed training Added steps on how to leverage kubeflow tooling to submit a distributed object detection training job in a small kubernetes cluster (minikube, 2-4 node cluster) * Added Jobs to prepare the training data and model * Updated instructions * fixed typos and added export tf graph job * Fixed paths in jobs and instructions * Enhanced instructions and re-arranged folder structure * Updated links to kubeflow user guide documentation |
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| conf | ||
| docker | ||
| jobs | ||
| tf-serving | ||
| README.md | ||
| export_tf_graph.md | ||
| monitor_job.md | ||
| setup.md | ||
| submit_job.md | ||
README.md
Distributed TensorFlow Object Detection Training on K8s with Kubeflow
This example demonstrates how to use kubeflow to train an object detection model on an existing K8s cluster using
the TensorFlow object detection API
This example is based on the TensorFlow Pets tutorial.