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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.
Add demo for run_models experimental method.
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...
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
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.
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...