#60 Geometric Deep Learning Blueprint (Special Edition)

This article introduces Geometric Deep Learning (GDL) and its significance in machine learning. It highlights the core principles of deep learning (representation learning and gradient descent) and explains how GDL leverages symmetry and invariance to address complex ML problems. The article mentions a discussion with experts in the field about their new book on GDL.

• •Geometric Deep Learning (GDL) is a framework that leverages symmetry and invariance in machine learning.
• •GDL builds upon the core principles of deep learning: representation learning and gradient descent.
• •GDL is relevant to various ML tasks, including computer vision and graph neural networks.
• •The article discusses a new book on GDL by leading researchers in the field.