SVM with polynomial kernel visualization

[cirimus]

Thank you for the inspiration, here's another one: ciri.be/blog/?p=593 based on yours.

[onlyneerya]

Very helpful, it was!



[viperbuller]

Very helpful, simple and clear! Nice! Thank you very much.

[loosupeter]

thank you , very informative when visualized

[oliverchess]

great for teaching, thank you for doing this.

[glapots]

Thank you. This explains it nicely. I just hope it comes up in my exam :)

[neozenith]

I use this video whenever I have to explain to people what I do. Thanks. :D

[AlejandroSolado]

very intensive. in 30 seconds you explain the intrinsic meaning.

Tanks

[Anjani1209]

||Hari Om||

Thanks

[Anjani1209]

||Hari Om||

[chogus]

thanks, this is brilliant!!!!

[finallyUcome]

great job ^^

[frogiwell]

Thanks, very easy to understand. :P

[tomaszstaroszczyk]

Great vid. I was looking for a visualization of SVM gaussian kernel to understand it better, great job

[SoftwareEngineer3]

Thanks, very clear.

What would be the kernel for this transformation?

[udiprod]

Thanks.

The kernel is the dot product in the higher-dimensional space. In this case:

K( [x1 y1], [x2 y2] ) =

[x1 y1 x1^2+y1^2][x2 y2 x2^2 y2^2] =

x1x2+y1y2+(x1^2+y1^2)(x2^2+y2^­2)

[boulabiar]

good video,

you created it using any tools and languages ?

[udiprod]

Yes. I created it using Autodesk Maya. Thanks!

[masterlitheon]

Nice! It shows it very clearly

[juancho179]

Absolutely impressive.

[00l0]

i second that

[runnerman56]

awesome vid

[quintopia]

it's the kernel trick!

[manyuenwong2006]

cool...

[D4N13L83]

thx for the vid, smart job!

[etfd]

very nice.

[benchiniandai]

how to produce video like this?

[RageAndLove1]

woah.