Learning To See [Part 14: Better Heuristics] @WelchLabs
Learning To See [Part 14: Better Heuristics]  @WelchLabs
Uploaded April 2017 | Updated September 2026, 3 weeks ago
In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy.

Supporting Code: github.com/stephencwelch/LearningToSee

welchlabs.com
@welchlabs
Learning To See [Part 14: Better Heuristics]The Intelligence CakeYann LeCun saw the revolution comingNeural Scaling Laws.What is the i really doing in Schrödingers equation?Kepler’s Impossible EquationYann LeCuns $1B Bet Against LLMs [Part 2]I made a $20,000 mistake.Yann LeCuns $1B Bet Against LLMs [Part 1]Oppenheimer reading list book 9. Full list at www.amazon.com/shop/welchlabsThis is MarsDo AI models really need to be generative?
Welch Labs |

Learning To See [Part 14: Better Heuristics]

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER