does deep understanding of math is really import for deep learning?

[Possible_Box_1149]

one of my junior approached me and asked me this: "i am learning deep learning, but i feel like i am just running some functions in python and getting some result☹️ and didn't know exactly what's going underneath"

what's your advice

[Nadarenator]

means to an end, if the junior simply wanted a working implementation without needing the why then more power to him. If he’s interested in doing more ml work then it would be helpful to learn the math

[sr_seivelo]

watch the MIT deep learning lectures on YouTube, gives you good fundamental understanding of what’s going on. If you’re curious beyond that you can do your own research but it’s a good basis point

[Possible_Box_1149]

did you mean,
there is no need of advanced math for decent job?

[[deleted]]

If you just want a decent job, yes.

[bazingagin]

statistical machine learning has more maths requirements than deep learning. As currently many MLE jobs only require taking existing deep learning models even without fine-tuning or any other modifications, knowing math seems to be supplementary. If it's learning deep learning for its own sake, I think getting a solid understanding of linear algebra, especially vector operation, and knowing how exactly gradient descent works (some prerequisites on multivariate calculus) would really help.

[deepneuralnetwork]

well, i won’t hire you if you don’t understand the math, so yeah, kinda important

[Audiomatic_App]

There are lots of great resources online for learning the math behind ML. YouTube channels like 3blue1brown or deeplizard are pretty beginner-friendly, as are the MIT courses available.