Neptune supports two major use cases:
You can use the
neptune.integrate_with_tensorflow()method to instantly log major metrics (epoch and batch related) to Neptune. For example, Integrate with TensorBoard logging.
Check the example TensorBoard project project in Neptune.
pip install neptune-tensorboard
Sync TensorBoard logdir with Neptune¶
Point Neptune to your TensorBoard logs directory:
neptune tensorboard /PATH/TO/TensorBoard_logdir --project USER_NAME/PROJECT_NAME
That’s it! You can now browse and collaborate on your TensorBoard runs in Neptune.
Organize your TensorBoard experiments:
Compare your TensorBoard runs:
Share your work with others by sending an experiment link.