Thank you for these illustrations - many of your math-collegues here on YT just go all aboard in equations and that can be a challenge for those of us that are more visually oriented. I came across Geordie Williamsons (et. al) new paper from Nature (it is from december 2021, I think) just this week and my interest was piqued about these KL polynomials and their apparent connection to the structures of neural networks used to approximate them. Your video here helped me along the way in my understanding, even if I'm not quite homefree yet :-D Thank you once again!
Yes, the nature paper is really great. The best way to learn about KL polynomials is to calculate the examples yourself. Its fun ;-) In any case, glad that the video was reasonably helpful!
Thank you for these illustrations - many of your math-collegues here on YT just go all aboard in equations and that can be a challenge for those of us that are more visually oriented. I came across Geordie Williamsons (et. al) new paper from Nature (it is from december 2021, I think) just this week and my interest was piqued about these KL polynomials and their apparent connection to the structures of neural networks used to approximate them. Your video here helped me along the way in my understanding, even if I'm not quite homefree yet :-D
Thank you once again!
Yes, the nature paper is really great.
The best way to learn about KL polynomials is to calculate the examples yourself. Its fun ;-)
In any case, glad that the video was reasonably helpful!