No amount of words can describe how grateful I am for you to have compiled a stunning resource such as this one. Thank you very much for all of your time and effort! Will definitely be sharing with friends. Can't wait to read more, subscribed. :))
This article is written extremely well - a very difficult task, as it represents complex math constructs using everyday’s english language. This approach is current methodology in writing books on state of the art quantum field theory.
Just another hint: in the diagram explaining vector addition, you may want to connect the base of vector y to the point of vector x, to visualize they add up to x+y.
I'm going to go through this to see if I can relearn what I lost from a TBI. I was in a car accident during my initial calculus course. I loved differentials so much for it's ease of use that I often wondered why it wasn't taught first. The week we started integrals was the accident. I couldn't learn them and lost the differentials as well. I can't remember how to find first derivative and have failed when trying to relearn it on my own but I'm going to see if this can unlock some of it.
Outstanding resource. Thanks!
No amount of words can describe how grateful I am for you to have compiled a stunning resource such as this one. Thank you very much for all of your time and effort! Will definitely be sharing with friends. Can't wait to read more, subscribed. :))
Small typo in figure. c^2 = a^2 + b^2, not the square root of ...
Thanks, you are correct!
This article is written extremely well - a very difficult task, as it represents complex math constructs using everyday’s english language. This approach is current methodology in writing books on state of the art quantum field theory.
Thank you, that’s a wonderful article! Small typo:
> Take a small step in the direction of the gradient to arrive at the point x₁. (The step size is called the learning rate.)
The steps should be taken in the opposite direction :)
Thanks, I'll fix this ASAP!
It’s actually pretty fun to follow the gradient once and see how the loss diverges.
Much needed thanks
Is there a typo in your formula:
<ax+y,z> =a<x,z> + <x,y> = <y,z> ?
I would have thought <ax+y,z>= a<x,z> + <y,z>
but I might just not be understanding something.
I do agree, that should describe the linearity feature.
A small correction, if you could do in Pythagoras Theorem diagram, it should be c2=a2+b2....
This is good.
🙌🏻🙌🏻🙌🏻
Thank-you very much. This was helpful to me, to help me understand how our system works.
Great work.
Just another hint: in the diagram explaining vector addition, you may want to connect the base of vector y to the point of vector x, to visualize they add up to x+y.
I had the very same thought.
Looks like a great primer for novice like me in machine learning..My forte is number theory and developing math puzzles and games
I'm going to go through this to see if I can relearn what I lost from a TBI. I was in a car accident during my initial calculus course. I loved differentials so much for it's ease of use that I often wondered why it wasn't taught first. The week we started integrals was the accident. I couldn't learn them and lost the differentials as well. I can't remember how to find first derivative and have failed when trying to relearn it on my own but I'm going to see if this can unlock some of it.
I like how I saved this for later as if I would understand any of it. XD but maybe I will from your works
Well now