TensorFlow Cloud v0.1.6

• 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 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 by serializing the model, and datasets for remote execution.
• Small bug fixes

TensorFlow Cloud v0.1.5

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

TensorFlow Cloud v0.1.4

• New API remote() to detect if currently in a remote cloud env.
• CI using Github Action.
• Updated README.
• Some minor bug fixes.

TensorFlow Cloud v0.1.3

New features

• Support for single node Keras tuner workflow.
• Support for TPU training.

Fixes

• Fixed docker build decode errors.
• Default to Py3 for TF docker images.

Others

• New colab notebook example.
• New Auto Keras example.
• Improved ReadMe docs.
• Improved error messages.

TensorFlow Cloud v0.1.2

• Support for passing colab notebook as entry_point.
• Support for cloud docker build and colab workflow.
• Support for log streaming in colab

TensorFlow Cloud v0.1.1

• Detailed README with setup instructions and examples
• Support for running run API from within a python script which contains a Keras model

TensorFlow Cloud v0.1.0

First release

• Initial release with support for running a python script on GCP
• Examples for basic workflows in Keras