Modern Computer Vision with PyTorch - Second Edition

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Artificial Neural Network Fundamentals

An Artificial Neural Network (ANN) is a supervised learning algorithm that is loosely inspired by the way the human brain functions. Similar to the way neurons are connected and activated in the human brain, a neural network takes input and passes it through a function, resulting in certain subsequent neurons getting activated, and consequently, producing the output.

There are several standard ANN architectures. The universal approximation theorem says that we can always find a large enough neural network architecture with the right set of weights that can exactly predict any output for any given input. This means that for a given dataset/task, we can create an architecture and keep adjusting its weights ...