TL;DR: How to find out if your favorite deep learning library is occasionally giving youwrong results? Such bugs happen from time to time, and are extremely difficult to notice, report, and debug.Three years ago, I wrote an articleUnawareness of Deep Learning Mistakes:buggy code can still train and appear to work, so it's difficultfor users to realize that their code is wrong.What's apparently more difficult to find out, is when the bug comes from the deep learning library we use.Imagine, what if the library unfortunately computes wrong results for certain parts of our model during t
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