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Re:Matrix Calculus for Deep Learning by jacobolus on Tuesday January 30, 2018 @01:37PM (#16267712)
Typographic advice: the body text has very long lines in a desktop browser, which makes it a bit slow and tiring to read. I’d say the ideal is somewhere between 1/2 and 2/3 this length. I’d recommend keeping the same width on screen but bumping the font size up by 30%.

As an extra minor nit, italicizing functions like sin, etc. is also somewhat unconventional in mathematical typesetting.

Re:Matrix Calculus for Deep Learning by parrt on Tuesday January 30, 2018 @02:02PM (#16267945)
I agree that the font should be bigger. I need to learn more CSS in order to switch between font sizes per platform. The font of the text is easy but all of the images were generated from latex using a specific font size. I need to scale the in-line equation images as the font size bumps up.
Re:Matrix Calculus for Deep Learning by dbetteridge on Tuesday January 30, 2018 @07:50PM (#16270444)
the magic incantation here is probably media queries

@media (max-width: 768px) {

    p {

     font-size: 1rem;
    }
}
Re:Matrix Calculus for Deep Learning by parrt on Tuesday January 30, 2018 @11:33PM (#16271338)
We have to also adjust the image sizes for the in-line equations. That’s what I need to figure out :)
Re:Matrix Calculus for Deep Learning by posterboy on Tuesday January 30, 2018 @03:01PM (#16268485)
it's a variable name for a polymorphic function, taylor series, euler formular, etc. depending on context. This is a significant difference to singular types, but being a variable name to an abstract concept is in principle no different to typesetting x. This goes neatly with "everything is an objectreference" and might be more of a programmer's perspective.
Re:Matrix Calculus for Deep Learning by jacobolus on Tuesday January 30, 2018 @03:06PM (#16268526)
In mathematical notation it gets confusing because several italic letters in a row are otherwise interpreted as separate variables.
Re:Matrix Calculus for Deep Learning by jph00 on Tuesday January 30, 2018 @01:42PM (#16267761)
Thanks for the advice!