[aibottle]

If you already know a bit about Machine Learning don't read this, you will gain nothing. If you don't already know about Machine Learning don't read this, you will not learn anything here. I have no idea how this can be trending. Over-simplified, generalized bs.

[signa11]

> If you already know a bit about Machine Learning don't read this, you will gain nothing. If you don't already know about Machine Learning don't read this, you will not learn anything here. I have no idea how this can be trending. Over-simplified, generalized bs.

indeed. much better off reading this instead: http://karpathy.github.io/neuralnets/

[k__]

For me the dificult is rising too fast after "Strategy 1"

First they come with

    f(x,y) = xy

Well, sounds easy.

suddendly

    df(x,y)/dx = (f(x+h,y)-f(x,y))/h

wait what?!

[Aeolos]

This is essential knowledge you can get from a number of different places: first semester of university, any sort of 3d or image/signal processing, or just plain old wikipedia.

You could still use a deep learning framework as a black box without knowing how to differentiate a function. However, you'd have trouble following any relevant blog post / scientific paper, understanding how it works or developing any relevant new algorithm.

[k__]

Okay, I'm sorry.

The article is well written, my brain just turns off if I read higher math.