Track and manage fastai2 training in Neptune
- Log fastai2 metrics, loss and model weights to Neptune automatically
- Use fastai2 lightweight API for model training and track deep learning experiments in Neptune
- Gain insights from comparing experiments interactively
Take advantage of fastai2 and Neptune combined
Use integration with fastai2 to develop models faster and leverage Neptune to manage experiments and share work with your team.
Neptune integration with fastai2 is part of the Fastai library. To track deep learning experiments simply use
NeptuneCallback from the
callback module. Track: metrics, images, model weights, parameters and more. Organize your experiments with tags.
Support for deep learning libraries
- Start instantly with out-of-the-box integration.
- Track rich data (metrics, text, images, files and more).
- Save model weights.
- All charts visible for team members.
- Compare across multiple experiments and gain insight.
- Download charts from UI.
Backed up experiments history
- All visualizations are stored and secured.
- Keep all history – review when needed.
- Secured Intellectual Property (IP).
Register and try it out!