Metacademy - Differential geometry for machine learning
updated 7d ago
Metacademy - Differential geometry for machine learning
Deep-ML
The geometry of diffusion guidance
Matt Serwinowski added
Good introduction to guidance intuition in diffusion model algorithms- There are a lot of open resources available on the web, but finding, qualifying, and navigating them–let alone combining them into a self directed system–is a challenge. That’s because the tools we use today to search the web are designed for quickly finding facts, not for guiding you on a learning journey. For self-learning new topics, we need som... See more
from Looking For Syllabus 2.0 | Union Square Ventures by Dani Grant
Sometimes we want to analyze clusters of data (K-means) or reduce the dimensions or features in play (manifold learning) or convert from one type of data to another (autoencoding).
from Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything by Eric Redmond
The spelled-out intro to neural networks and backpropagation: building micrograd
Ayoola John added
