Tag: neural network
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Backpropagation: Fundamentals of Neural Networks Part 3
Modern neural network architectures are deep – typically involving 3 and more hidden layers. They use backpropagation to determine the rate of weight updates through all layers. Backpropagation was first popularized by the paper Learning representations by back-propagating errors | Nature back in 1986. It is one of the most important algorithms in machine learning. Read more
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Single-Node Perceptron: Fundamentals of Neural Networks Part 1
Introduction Neural networks have been part of AI research for quite some time. It all started with a perceptron, which is a simplest Artificial Neural Network. It was introduced in 1958 by Frank Rosenblatt. Despite its simplicity, it serves as a fundamental building block in artificial neural networks and has several practical applications. It excels Read more