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.
The documentation provides a full tutorial on how to get started using Cockpit as well as a detailed documentation of its API.
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.
Frank Schneider, Felix Dangel, Philipp Hennig Cockpit: A Practical Debugging Tool for Training Deep Neural Networks arXiv 2102.06604