Hello, dear readers! Today we delve into an intriguing concept in Artificial Intelligence (AI): Hebbian Learning. Borrowing directly from the way our brains function, Hebbian Learning promises to shape the future of AI. Hebbian Theory – The Networking Nature of Our Brains Our brain is a vast network of neurons,…
Month: June 2023
Deep Dive Into Capsule Networks: Shaping the Future of Deep Learning
In the realm of machine learning, traditional Convolutional Neural Networks (CNNs) have established a strong foothold, contributing significantly to image recognition and processing tasks. However, they’re not without their limitations, such as struggling to account for spatial hierarchies between simple and complex objects, and being heavily dependent on the orientation…
Unraveling the Mystery of Evolutionary Neural Architecture Search: Simplification, Use Cases, and Overcoming Drawbacks
Introduction Evolutionary Neural Architecture Search (NAS) can be an enigma, even for those well-versed in machine learning and AI fields. Taking inspiration from the Darwinian model of evolution, evolutionary NAS represents a novel approach to optimize neural networks. This post aims to demystify evolutionary NAS, discuss its model mutations, delve…