Simina M. Boca
Simina M. Boca
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
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
This is to discuss outstanding issues for Tip 6: Tune your hyperparameters extensively and systematically. https://github.com/Benjamin-Lee/deep-rules/blob/master/content/08.hyperparameters.md
This is to discuss outstanding issues for Tip 9: Don’t over-interpret predictions. https://github.com/Benjamin-Lee/deep-rules/blob/master/content/11.interpretation.md
This is to discuss outstanding issues for Tip 5: Choose an appropriate data representation and neural network architecture. https://github.com/Benjamin-Lee/deep-rules/blob/master/content/07.architecture-and-representation.md