* Updated Dockerfile.traning to use latest tensorflow
and tensorflow object detetion api.
* Updated tf-training-job component and added a chief
replica spec
* Corrected some typos and updated some instructions
* adding batch-predict on GPU example
* Sync with TF-serving GPU example.
* adding visualization instructions
* change the title of readme.md
* changes according to the review comments from jlewi
* Replace the links to personal project with the one in kubeflow-example project in the yaml file
* change the procedure to build images
* polish the md file
* some minor md change
* fix a broken gs link
* fix more merge errors
* Added Ksonnet prototypes to parametrize old yaml files
* Modified instructions
* Added tf-training-job component
* Removed yaml manifest files
Modified serving instructions
* Consolidate get-data and decompression jobs
* Deleted registry and prototypes
* Added components to ks-app dir
* Modified instructions
* Fixed references to user guide page
Improved instructions
* General improvements to components and instructions
* Removed obj-detection.libsonnet file
* used specific params in export-graph and create-tf-record
instead of list params like 'args' and 'command'
* Improved instructions and removed references to yaml files
* 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
Daniel Castellanos
Lun-Kai Hsu
Sam Shi
Roy Xue
Daniel Castellanos