> The unfortunate thing about the field is that subtle methodological errors often cause subtle failures rather than catastrophic failures as we're used to in many other branches of engineering or science.
I've been doing a lot of studying in the ML field lately, and I'm seeing this a lot. It is just another thing that feels like the polar opposite of everything else that I've done as a software engineer.
Miss a semicolon? Instant error.
Miscalculate some grads on one out of three layers? Every now and then it might even work! But the results will be weird.
I've been doing a lot of studying in the ML field lately, and I'm seeing this a lot. It is just another thing that feels like the polar opposite of everything else that I've done as a software engineer.
Miss a semicolon? Instant error.
Miscalculate some grads on one out of three layers? Every now and then it might even work! But the results will be weird.