NeurIPS 2021: Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
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Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
Frank Schneider, Felix Dangel, and Philipp Hennig
Advances in Neural Information Processing Systems (NeurIPS) 2021
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► Paper:
► Cockpit Code:
► Try it: pip install cockpit-for-pytorch
When engineers train deep learning models, they are very much “flying blind”. Commonly used methods for real-time training diagnostics, such as monitoring the train/test loss, are limited. Assessing a network’s training process solely through these performance indicators is akin to debugging software without access to internal states through a debugger. To address this, we present Cockpit, a collection of instruments that enable a closer look into the inner workings of a learning machine, and a more informative and meaningful status re
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