TensorFlow Keras Integration¶
The Kubeflow Training Operator allows users to easily distribute the training
process of TF Keras models. Users can create and submit TFJob
Custom
Resources (CRs), and manage TensorFlow jobs like other built-in Kubernetes
resources.
Kale provides a simple way to translate your Python code into a TFJob
CR and a client which facilitates the monitoring and management of the running
jobs.
Important
This API is in beta and is subject to change.
What You’ll Need¶
- An Arrikto EKF or MiniKF deployment.