[HN Gopher] The Mathematical Engineering of Deep Learning
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       The Mathematical Engineering of Deep Learning
        
       Author : yonin
       Score  : 144 points
       Date   : 2021-03-08 13:23 UTC (9 hours ago)
        
 (HTM) web link (deeplearningmath.org)
 (TXT) w3m dump (deeplearningmath.org)
        
       | jimbokun wrote:
       | The different lessons seem to use different programming languages
       | for their examples. I see R, Julia, and Python.
       | 
       | Which is cool. But it's not very well explained. One chapter just
       | introduces R code, without even saying that's the language.
       | 
       | So some explanation about which language is being used when, and
       | if there is a reason for choosing one over the other, would be
       | useful.
        
         | cashsterling wrote:
         | What would be great is make the code windows tabbed where each
         | code block is listed in R, Python, and Julia... something
         | similar to Dive into Deep Learning. For example:
         | https://d2l.ai/chapter_linear-networks/linear-regression-
         | scr....
         | 
         | To the book author, thank you so much for all of the hard work
         | on this. I bookmarked it and will refer to it in the future.
        
       | sendtown_expwy wrote:
       | I am unfamiliar with the term mathematical engineering. What does
       | it even mean?
        
         | p1esk wrote:
         | It means there's no good theory yet, just some tricks that seem
         | to work.
        
       | bezout wrote:
       | I know that it's not related to the course's content but: I never
       | liked the "deep learning is the new electricity". It sounds dumb.
        
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