Capitalized brand names (#666)

Author: rlenferink

content/docs/about/community.md

@@ -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/)

content/docs/about/events.md

@@ -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)

content/docs/components/mpi.md

@@ -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

content/docs/components/tfserving_new.md

@@ -1,6 +1,6 @@
 +++
 title = "TensorFlow Serving"
-description = "Serving Tensorflow models"
+description = "Serving TensorFlow models"
 weight = 51
 +++
 

content/docs/examples/resources.md

@@ -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" 

content/docs/gke/gcp-e2e.md

@@ -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):
 

content/docs/notebooks/setup.md

@@ -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.
 

content/docs/other-guides/troubleshooting.md

@@ -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 >>