20180926 kubeflow-meetup-1-kubeflow-operators-Preferred Networks-Shin…20180926 kubeflow-meetup-1-kubeflow-operators-Preferred Networks-Shingo Omura This document discusses Kubeflow operators and how they enable Kubeflow to support multiple machine learning frameworks like TensorFlow, PyTorch, MXNet, and Chainer. It explains that operators and custom resource definitions (CRDs) allow ML jobs to be defined and managed for different frameworks. It provides examples of
