A Practical Debugging Tool for the Training of Deep Neural Networks Supplementary Material Checklist

Do the main claims made in the abstract and introduction accurately reflect the paper's Did you describe the limitations of your work? Did you discuss any potential negative societal impacts of your work? In general, we believe, this work will have an overall positive impact as it can help shed light into the black-box that is deep learning. If you ran experiments... (a) Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [Y es] All experimental results, as well as the complete code base to reproduce them can be Did you specify all the training details (e.g., data splits, hyperparameters, how they were chosen)? Did you report error bars (e.g., with respect to the random seed after running experiments multiple times)?