Python 3.7+
in your system,pip
and conda
:neptune-client==0.9.4
, tensorflow==2.4.1
, and neptune-tensorflow-keras==0.9.1
.project=my_workspace/my_project
: your workspace name and project name,api_token=YOUR_API_TOKEN
: your Neptune API token.api_token
argument.NeptuneCallback
and pass it to the callbacks argument of model.fit()
.stop()
method. This is needed only while logging from a notebook environment. While logging through a script, Neptune automatically stops tracking once the script has completed execution.stderr
and stdout
from your console.base_namespace
of your choice.upload()
method on the saved model file..log()
method, that will create series of images.