Timeline for How to interpret this learning curve of my neural network?
Current License: CC BY-SA 4.0
4 events
when toggle format | what | by | license | comment | |
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Apr 7, 2021 at 17:13 | comment | added | SpiderRico | This is a textbook case of overfitting. Your network fits particular patterns existing only on the training data, and fails to generalize. Given your training curves, you should stop training at about 20th epoch, in which the validation loss is the lowest. | |
Apr 7, 2021 at 12:11 | answer | added | htl | timeline score: 1 | |
Apr 7, 2021 at 10:55 | review | First posts | |||
Apr 7, 2021 at 13:12 | |||||
Apr 7, 2021 at 10:55 | history | asked | David Weinblumer | CC BY-SA 4.0 |