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I can customize it to log other things like text or images easily.
Pc optimizer pro bee code#
With TensorBoard I have to change the code to log things.
I didn’t have to change the code other than that one line. The main reason why I chose Neptune over TensorBoard was that you could just change the native logger to NeptuneLogger, pass your user token, and everything would work out of the box. I was looking for alternatives to PyTorch Lightning native logger. For us in research, it’s not just about the best model run, we need to understand how models perform on a deeper level. I can group my experiments by a parameter like dropout to see the impact it has on results. Neptune UI is very clear, it’s intuitive, and scales with many runs.
It’s hard to organize and compare things. When I’m doing hyperparameter optimization and I am running a lot of experiments TensorBoard gets very cluttered. I just want to see it online and Neptune lets me do that easily. “I’m working on a server that is not graphical, it’s always a hassle to connect it to my local laptop to show the results in TensorBoard.
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