ml
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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/kind feature
Persona: Infrastructure Engineer
Control Plane Walkthrough:
- Install Kubeflow with (istio) KfDefs
- Install Kubeflow with dex - pending
- Configure / Get Istio IngressGateway endpoint
- Create profiles (w/ kubectl) #4725
- Create notebooks from user-namespace (w/ kubectl)
- Login (port-forward) into notebook as user
- Create TFJob (w/ kubec
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Several parts of the op sec like the main op description, attributes, input and output descriptions become part of the binary that consumes ONNX e.g. onnxruntime causing an increase in its size due to strings that take no part in the execution of the model or its verification.
Setting __ONNX_NO_DOC_STRINGS doesn't really help here since (1) it's not used in the SetDoc(string) overload (s
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Now we follow the official documents to build and test tensorflow serving with latest dev docker image. The examples can not be run successfully because the tensorflow version is 2.1.0 in tensorflow/serving:latest-devel while the examples code like mnist_saved_model.py still uses TensorFlow 1.x APIs.
We should upgrade the examples to TensorFlow 2 so that users can build and test with latest
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System information
example script provided in TensorFlow): Yes