Factual package intelligence from PyPI
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.
pip install tensorflow-cloud
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
tensorflow-cloud publishes 1 wheel and 0 source archives for version 0.1.16. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 18 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .