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You can think rigorously without mathematical notation. Inversely, some math-heavy papers use math to obfuscate a lack of rigor -- leveraging the fact that it's harder to read for most, and that it confers an appearance of scientificness.
Using math is like the choice of a programming language: for some classes of problems, it can make you a lot more productive. You can go a very long way without math (maybe all the way, if you have code instead). But if you master math, that's a key advantage you should leverage
Being highly mathematical is surprisingly rare in the ML community. At this point, it's almost like a superpower. Use math to think, not to impress
Francois, can you mathematically prove back prop without consulting any reference from the Internet?
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