What Are Neural Networks Even Doing? (Manifold Hypothesis)
In this video, I try to crack open the black box we call a #neuralnetwork 💪💪
The animations were made using #Manim Community Edition, and here is the code I wrote to generate them:
https://github.com/igreat/videos/tree/main/manifold-hypothesis
Timestamps:
0:00 - recap
0:49 - visualizing neural networks 2d
3:05 - linear transformations
3:27 - nonlinear transformations
4:30 - affine transformations
5:14 - back to 2d neural networks
7:04 - why use more neurons per layer?
10:10 - manifold hypothesis
11:36 - visualizing handwritten digit separation
12:56 - conclusion
In this video, I try to crack open the black box we call a #neuralnetwork 💪💪
The animations were made using #Manim Community Edition, and here is the code I wrote to generate them:
https://github.com/igreat/videos/tree/main/manifold-hypothesis
Timestamps:
0:00 – recap
0:49 – visualizing neural networks 2d
3:05 – linear transformations
3:27 – nonlinear transformations
4:30 – affine transformations
5:14 – back to 2d neural networks
7:04 – why use more neurons per layer?
10:10 – manifold hypothesis
11:36 – visualizing handwritten digit separation
12:56 – conclusion
