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The majority of the stuff you need from calculus for deep learning doesn't rise to the level of real analysis. Real analysis is worth doing if their are benefi
by TimPC 9y ago
The majority of the stuff you need from calculus for deep learning doesn't rise to the level of real analysis. Real analysis is worth doing if their are benefits to Fourier transforms on your data sets in the domain you're working in but otherwise has good payoff for studying more math rather than studying more deep learning.
- thousandpounds 9y agoBroadly speaking, I want to read books like [1]. It looks like they use quite a bit of advanced nondiscrete probability. Since I prefer books written in definition - theorem - proof format anyway, I figured I might as well get analysis out the way :) [1]http://www.cs.cornell.edu/jeh/book%20June%2014,%202017pdf.pdf http://www.cs.cornell.edu/jeh/book%20June%2014,%202017pdf.pd... (Foundations of Data Science by Bloom/Hopcroft/Kannan)