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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
by aibottle 10y ago
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 10y ago> 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/ http://karpathy.github.io/neuralnets/
- k__ 10y agoFor 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 10y agoThis 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.
- deleted 10y ago[deleted]
- k__ 10y agoOkay, I'm sorry. The article is well written, my brain just turns off if I read higher math.