Tensorflow-cloud

Latest version: v0.1.16

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0.1.10

* Py 3.5 support removed.
* Small bug fixes.

0.1.9

* Added Kaggle integration.

0.1.8

* `cloud_fit` now moved to a sub-module under `Tuner`
* HParams plugin integration with DistributingCloudTuner
* Added integration tests
* Small bug fixes.

0.1.7

* `cloud_fit` uses pickle instead of cloudpickle.
* Better integration tests checking for job status.
* Small bug fixes.

0.1.6

* New module CloudTuner - Implementation of a library for hyperparameter
tuning that is built into the KerasTuner and creates a seamless integration
with
[Cloud AI Platform Optimizer](https://cloud.google.com/ai-platform/optimizer/docs/overview)
as a backend to get suggestions of hyperparameters and run trials.
* New application Monitoring - TensorFlow extension that exports its metrics
to Stackdriver backend, allowing users to monitor the training and inference
jobs in real time.
* New experimental project cloud_fit - an experimental module that enables
training keras models on
[Cloud AI Platform Training](https://cloud.google.com/ai-platform/training/docs/overview)
by serializing the model, and datasets for remote execution.
* Small bug fixes.

0.1.5

* Restructuring of source code for new projects
* Multi-file code example
* Integration test example
* Small bug fixes

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