NN#10 Neural Networks Decoded: Concepts Over Code 0 like March 5, 2025Share this postAuthor(s): RSD Studio.ai Originally published on Towards AI. Neural Networks Competition Over the YearsThis member-only story is on us. Upgrade to access all of Medium.The evolution of artificial neural networks (ANNs) resembles less a steady march forward and more a complex ecosystem of competing species each architecture rising, dominating, and sometimes fading as computational landscapes shift. This isnt just about algorithmic improvements; its about fundamental transformations in how machines perceive and process our world.Lets journey through the neural architecture zoo that has defined machine learnings trajectory over the decades.This article will explore developments from basic ANNs that we have studied till now to current state of the art paving way for the next part of the series. If you havent read the previous series, do give it a read:From Neurons to Networks: A Conceptual Birth of Artificial Intelligencepub.towardsai.netThe McCulloch-Pitts Neuron (1943) emerged as our first formal model of a neural processing unit. Simple by todays standards, it represented a binary threshold logic that captured the fundamental insight: networks of simple computational units could theoretically compute anything.But theory needed implementation, and the Perceptron (1958) delivered. Frank Rosenblatts creation could actually learn from data, adjusting weights through a simple algorithm. The excitement was palpable until Minsky and Paperts infamous 1969 book Perceptrons demonstrated Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post