deep-rules
deep-rules copied to clipboard
Benjamin-Lee
Ten Quick Tips for Deep Learning in Biology
This paper dives into sources of non-determinism in machine learning frameworks: https://arxiv.org/abs/2104.07651 It would be a great reference for our paragraph that starts > One specific reproducibility pitfall that is...
_PLOS Computational Biology_ requires us to propose four reviewers. Does anyone have suggestions for who would could propose?
This is to discuss any issues that we may think are not currently adequately covered. If they relate to specific tips, use #242 #243 #244 #245 #246 #247 #248 #249...
This is to discuss outstanding issues for Tip 2: Use traditional methods to establish performance baselines, https://github.com/Benjamin-Lee/deep-rules/blob/master/content/04.baselines.md.
This is to discuss outstanding issues for Tip 4: Know your data and your question. https://github.com/Benjamin-Lee/deep-rules/blob/master/content/06.know-your-problem.md
This is to discuss outstanding issues for Tip 10: Don’t share models trained on sensitive data. https://github.com/Benjamin-Lee/deep-rules/blob/master/content/12.privacy.md
This is to discuss outstanding issues for Tip 7: Address deep neural networks’ increased tendency to overfit the dataset. https://github.com/Benjamin-Lee/deep-rules/blob/master/content/09.overfitting.md
Give specific example of relevant metrics? _Originally posted by @SiminaB in https://github.com/Benjamin-Lee/deep-rules/pull/241#r503038318_
This is to discuss outstanding issues for Tip 1, on whether Deep Learning should be used in the first place, https://github.com/Benjamin-Lee/deep-rules/blob/master/content/03.ml-concepts.md. Related to: https://github.com/Benjamin-Lee/deep-rules/pull/241
This is to discuss outstanding issues for Tip 8: Your DL models can be more transparent. https://github.com/Benjamin-Lee/deep-rules/blob/master/content/10.blackbox.md