Maths Behind Deep Learning

Hi I think it is pretty hard for me to follow some of the math contents that andrew is explaining, so could anyone provide some links that are easy to understand what andrew wants to say?

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Hi @M_K,

Yeah, I agree that some of these Math are somewhat intimidating at first. When you dig deeper, however, it becomes more amenable and simpler (especially because it’s pretty repetitive and most of the time hidden in frameworks).

The basics are linear algebra (working with vector and matrices), probability, linear regression and, by far the most complex one, derivatives and gradients.

Here are a couple of articles I found that could be useful (in order of complexity):

Hope these make sense and help you build some more knowledge around the subject!


thank you neurogeek.It is quite helpful for me.

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