Neural Networks Are Decision Trees - With Alexander Mattick

Explore a thought-provoking discussion on the relationship between neural networks and decision trees in this 32-minute video featuring Yannic Kilcher and Alexander Mattick. Delve into the controversial paper "Neural Networks are Decision Trees," which claims to have solved a major mystery in deep learning. Examine the non-linearity of neural networks, interpret the paper's findings, and compare decision trees with neural networks. Investigate the novelty of this research, analyze experimental results, and consider the potential for trees and networks to work in tandem. Gain insights into the black-box nature of neural networks and their potential for improved interpretability through this engaging conversation between experts in the field of machine learning and artificial intelligence.

- Introduction
- Aren't Neural Networks non-linear?
- What does it all mean?
- How large do these trees get?
- Decision Trees vs Neural Networks
- Is this paper new?
- Experimental results
- Can Trees and Networks work together?