A Quick History of Neural Networks
This article is part of the Data Science Blogathon.
Introduction
Neural networks are ubiquitous right now. Organizations are splurging money on hardware and talent to ensure they can build the most complex neural networks and bring out the best deep learning solutions.
Although Deep Learning is a fairly old subset of machine learning, it didn’t get its due recognition until the early 2010s. Today, it has taken the world by storm and captured public attention in a way that very few algorithms have managed to accomplish.
In this article, I wanted to take a slightly different approach to neural networks and understand how they came to be. This is the story of the origin of neural networks!
The Origin of Neural Networks
The earliest reported work in the field of Neural Networks began in the 1940s, with Warren McCulloch and Walter Pitts attempting a simple neural network with electrical circuits.
The below image shows an MCP Neuron. If you studied High School physics, you’ll recognize that this looks