Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

pip install 'git+https://github.com/f-dangel/cockpit.git'

Cockpit is a visual and statistical debugger specifically designed for deep learning. Training a deep neural network is often a pain! Successfully training such a network usually requires either years of intuition or expensive parameter searches involving lots of trial and error. Traditional debuggers provide only limited help: They can find syntactical errors but not training bugs such as ill-chosen learning rates. Cockpit offers a closer, more meaningful look into the training process with multiple well-chosen instruments.

CockpitAnimation

Installation

To install Cockpit simply run

pip install 'git+https://github.com/f-dangel/cockpit.git'

Documentation

The documentation provides a full tutorial on how to get started using Cockpit as well as a detailed documentation of its API.

Experiments

To showcase the capabilities of Cockpit we performed several experiments illustrating the usefulness of our debugging tool. For a discussion of those experiments please refer to our paper.

License

Distributed under the MIT License. See LICENSE for more information.

Citation

If you use Cockpit, please consider citing:

Frank Schneider, Felix Dangel, Philipp Hennig
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
arXiv 2102.06604
@misc{schneider2021cockpit,
   title={{Cockpit: A Practical Debugging Tool for Training Deep Neural Networks}},
   author={Frank Schneider and Felix Dangel and Philipp Hennig},
   year={2021},
   eprint={2102.06604},
   archivePrefix={arXiv},
   primaryClass={cs.LG}
}

GitHub

GitHub - f-dangel/cockpit: Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks - GitHub - f-dangel/cockpit: Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
GitHubf-dangel