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The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

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Add demo for run_models experimental method.

cla: yes

Not sure when this happened but it seems the examples dir is missing. colab/kaggle/view in github links broken, can't find scale_mnist, etc

Hi, This is a pretty awesome project. I see in [tuner.py](https://github.com/tensorflow/cloud/blob/b9c8752f5c53f8722dfc0b5c7e05be52e62597a8/src/python/tensorflow_cloud/tuner/tuner.py#L333) that this project only supports submitting on GCP. Is it on the roadmap to submit tuning experiments on a...

While running the following code, I get an error: ``` import datetime import os import tensorflow as tf import tensorflow_cloud as tfc import tensorflow_datasets as tfds from tensorflow import keras...

- Create CLI interface based on typer in top of click (docs: https://typer.tiangolo.com/) - Create a command to get remote (something like: tfc remote) - Create a command to run...

cla: yes
ready to pull

Scope of changes is restricted to docs only. Old URL in project README, returning 404 status code, replaced with current URL for TensorFlow documentation style guide https://www.tensorflow.org/community/documentation => https://www.tensorflow.org/community/contribute/docs_style

cla: yes
ready to pull

Where can I find version compatibility of tensorflow-cloud with tensorflow?

preemptible instance have a significantly lower cost, which makes the perfectly suitable for individual users and experimental projects. This issue has been raised by users.

enhancement

When using the TensorFlow Cloud Tutorial https://www.tensorflow.org/cloud/tutorials/overview , the model fail to train on GCP. I've added the log file and a screenshot of the error . I'm a google...

Remove RandomHeight and RandomWidth layers.

cla: yes