The Explosion: AlexNet & Watching Backprop Work

ImageNet 2012 — the moment backprop's 26-year bet paid off. The paper that launched the deep learning race, and live visualizations of networks learning.

Playlist by @backprop_paper

11 tracks, shared on Audicious.

1. The moment we stopped understanding AI [AlexNet] — Welch Labs
2. Why Deep Learning Now? | AI Revolution Documentary — ColdFusion
3. The ImageNet Moment with Geoff Hinton | Best Bits — The Robot Brains Podcast
4. [Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained) — Yannic Kilcher
5. AlexNet and ImageNet Explained — James Briggs
6. Official PyTorch Documentary: Powering the AI Revolution — PyTorch
7. Watching Neural Networks Learn — Emergent Garden
8. The F=ma of Artificial Intelligence [Backpropagation, How Models Learn Part 2] — Welch Labs
9. The Most Important Algorithm in Machine Learning — Artem Kirsanov
10. The Brain’s Learning Algorithm Isn’t Backpropagation — Artem Kirsanov
11. Training Machines to Learn the Way Humans Do: an Alternative to Backpropagation — Santa Fe Institute