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Capitalized brand names (#666)

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rlenferink authored and k8s-ci-robot committed Apr 27, 2019
1 parent b6e3f2a commit 3409d722998fb857a0dcf4ecbb1f4a2002354b83
@@ -57,7 +57,7 @@ More detail:
| Topic | Mailing list | Slack |
| :---- | :------------ | :------------- |
| General discussion | [kubeflow-discuss](https://groups.google.com/forum/#!forum/kubeflow-discuss) | [#general](https://kubeflow.slack.com/messages/C7REE0EHK) |
| TF Operator ([Github](https://github.com/kubeflow/tf-operator)) | [tf-operator](https://groups.google.com/a/kubeflow.org/forum/#!forum/tf-operator) | [#tf-operator](https://kubeflow.slack.com/messages/https://kubeflow.slack.com/messages/C985VJN9F) |
| TF Operator ([GitHub](https://github.com/kubeflow/tf-operator)) | [tf-operator](https://groups.google.com/a/kubeflow.org/forum/#!forum/tf-operator) | [#tf-operator](https://kubeflow.slack.com/messages/https://kubeflow.slack.com/messages/C985VJN9F) |
| Community meeting chat | n/a | [#community](https://kubeflow.slack.com/messages/C8Q0QJYNB) |

Slack server: [kubeflow.slack.com](https://kubeflow.slack.com/)
@@ -26,7 +26,7 @@ Please raise a [GitHub issue](https://github.com/kubeflow/website/issues/new) if
- [Slides](https://docs.google.com/presentation/d/1cphcFf4qszQ9PxcEnYkF0pkY3AZEQiEEjs8cso2KJjE/edit?usp=sharing)
- MiniKF: Local Kubeflow: Vangelis Koukis, Arrikto
- [Slides](https://docs.google.com/presentation/d/1ftOhRZtpIF3Iy-2R6z9kwgS3KMUtIFnvA1LHHEyxsp8/edit?usp=sharing)
- Tensorflow 2.0 is coming!: Paige Bailey, Google
- TensorFlow 2.0 is coming!: Paige Bailey, Google
- [Slides](https://docs.google.com/presentation/d/1G0BE7tvhsCzZn2uaxEZsoosEZyXkjN8CnB3uHvLpiC0/edit?usp=sharing)
- Overview of Kubeflow Pipelines: Pavel Dournov, Google
- [Slides](https://docs.google.com/presentation/d/1aMmJUz7r7Toky4nGZ1bItWKfXW4kSMbs4cofFeyKE-M/edit?usp=sharing)
@@ -128,7 +128,7 @@ Please raise a [GitHub issue](https://github.com/kubeflow/website/issues/new) if
* Cloud-Native, Docker, and Kubernetes Summit, Dallas, 12 September, 2018
- [Deploying Machine Learning Workloads in Kubernetes clusters that support GPUs](https://www.eventbrite.com/e/kubernetes-classes-at-cloud-native-docker-k8s-summit-tickets-44954443952): Michael Iatrou
* [O’Reilly Strata Data, New York](https://conferences.oreilly.com/strata/strata-ny), 11-13 September, 2018
- [From Training to Serving: Deploying Tensorflow Models with Kubernetes](https://conferences.oreilly.com/strata/strata-ny/public/schedule/detail/69362): Brian Foo, Holden Karau, Jay Smith
- [From Training to Serving: Deploying TensorFlow Models with Kubernetes](https://conferences.oreilly.com/strata/strata-ny/public/schedule/detail/69362): Brian Foo, Holden Karau, Jay Smith
- [Kubeflow Explained: Portable Machine Learning on Kubernetes](https://conferences.oreilly.com/strata/strata-ny/public/schedule/detail/69041): Michelle Casbon
* [O'Reilly AI Conference, San Francisco](https://conferences.oreilly.com/artificial-intelligence/ai-ca), 4-7 September, 2018
- [TensorFlow Days: Kubeflow: Portable Machine Learning on Kubernetes](https://conferences.oreilly.com/artificial-intelligence/ai-ca/public/schedule/topic/2899): Michelle Casbon
@@ -148,7 +148,7 @@ Please raise a [GitHub issue](https://github.com/kubeflow/website/issues/new) if
- [Spotlight Lab: Kubeflow End-to-End: GitHub Issue Summarization](https://cloud.withgoogle.com/next18/sf/sessions/session/229637): Michelle Casbon
- [Codelab](https://codelabs.developers.google.com/codelabs/cloud-kubeflow-e2e-gis/index.html)
* [O'Reilly Open Source Convention, Portland](https://conferences.oreilly.com/oscon/oscon-or-2018), 16-19 July, 2018
- [Tensorflow Day: Hassle-free, scalable machine learning with Kubeflow](https://conferences.oreilly.com/oscon/oscon-or/public/schedule/detail/70899): Barbara Fusinska
- [TensorFlow Day: Hassle-free, scalable machine learning with Kubeflow](https://conferences.oreilly.com/oscon/oscon-or/public/schedule/detail/70899): Barbara Fusinska
* [SciPy, Austin](https://scipy2018.scipy.org/ehome/index.php?eventid=299527), 09-15 July, 2018
- Kubeflow: Pythonic Machine Learning at Scale on Kubernetes: David Aronchick, Paige Bailey
- [Video](https://www.youtube.com/watch?v=b_CvqzmB51M)
@@ -44,7 +44,7 @@ kubectl create -f deploy/

## Creating an MPI Job

You can create an MPI job by defining an `MPIJob` config file. See [Tensorflow benchmark example](https://github.com/kubeflow/mpi-operator/blob/master/examples/tensorflow-benchmarks.yaml) config file for launching a multi-node TensorFlow benchmark training job. You may change the config file based on your requirements.
You can create an MPI job by defining an `MPIJob` config file. See [TensorFlow benchmark example](https://github.com/kubeflow/mpi-operator/blob/master/examples/tensorflow-benchmarks.yaml) config file for launching a multi-node TensorFlow benchmark training job. You may change the config file based on your requirements.

```
cat examples/tensorflow-benchmarks.yaml
@@ -1,6 +1,6 @@
+++
title = "TensorFlow Serving"
description = "Serving Tensorflow models"
description = "Serving TensorFlow models"
weight = 51
+++

@@ -40,7 +40,7 @@ model using TensorFlow.
{{% blocks/content-item title="Object detection - cats and dogs"
url="https://github.com/kubeflow/examples/tree/master/object_detection" %}}
Train a distribued model for recognizing breeds of cats and
dogs with the Tensorflow Object Detection API. Serve the model using TensorFlow.
dogs with the TensorFlow Object Detection API. Serve the model using TensorFlow.
{{% /blocks/content-item %}}

{{% blocks/content-item title="PyTorch MNIST"
@@ -71,7 +71,7 @@ Here's an overview of what you accomplish by following this guide:

* Packaging a TensorFlow program in a [Kubernetes][kubernetes] container.
* Uploading the container to [Container Registry][container-registry].
* Submitting a Tensorflow training ([tf.train][tf-train]) job.
* Submitting a TensorFlow training ([tf.train][tf-train]) job.

* Using the model for prediction (inference):

@@ -202,7 +202,7 @@ getting-started guide for your chosen environment. For example:
## Experiment with your notebook

The default notebook image includes all the plugins that you need to train a
Tensorflow model with Jupyter, including
TensorFlow model with Jupyter, including
[Tensorboard](https://www.tensorflow.org/get_started/summaries_and_tensorboard)
for rich visualizations and insights into your model.

@@ -78,7 +78,7 @@ how RBAC interacts with IAM on GCP.

## Problems spawning Jupyter pods

If you're having trouble spawning jupyter notebooks, check that the pod is getting
If you're having trouble spawning Jupyter notebooks, check that the pod is getting
scheduled

```
@@ -148,7 +148,7 @@ EOF


## OpenShift
If you are deploying Kubeflow in an [OpenShift](https://github.com/openshift/origin) environment which encapsulates Kubernetes, you will need to adjust the security contexts for the ambassador and jupyter-hub deployments in order to get the pods to run.
If you are deploying Kubeflow in an [OpenShift](https://github.com/openshift/origin) environment which encapsulates Kubernetes, you will need to adjust the security contexts for the ambassador and Jupyter-hub deployments in order to get the pods to run.

```commandline
oc adm policy add-scc-to-user anyuid -z ambassador
@@ -179,8 +179,8 @@ ks init my-kubeflow

## 403 API rate limit exceeded error

Because ksonnet uses Github to pull kubeflow, unless user specifies Github API token, it will quickly consume maximum API call quota for anonymous.
To fix this issue first create Github API token using this [guide](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/), and assign this token to GITHUB_TOKEN environment variable.
Because ksonnet uses GitHub to pull kubeflow, unless user specifies GitHub API token, it will quickly consume maximum API call quota for anonymous.
To fix this issue first create GitHub API token using this [guide](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/), and assign this token to GITHUB_TOKEN environment variable.

```commandline
export GITHUB_TOKEN=<< token >>

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