Trained for a specific task, Neural Networks are like specialized virtual computers
I’ve been thinking about neural networks quite a bit lately. I recently read an article (this one actually) that did an excellent job at explaining exactly how neural networks work, and went on to give an example of optical character recognition (OCR) using a neural network.
Neural Networks really aren’t as complicated as I previously thought. There are a few different types of digital neurons used in neural networks. The most popular being perceptrons, and sigmoid neurons. The idea behind perceptrons is that the perceptron can have any number of weighted inputs, and has a single output which acts like a step function dependant on the weighted sum of the inputs.
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