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Mastering Machine Learning with R - Second Edition by Cory Lesmeister

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Introduction to neural networks

Neural network is a fairly broad term that covers a number of related methods, but in our case, we will focus on a feed forward network that trains with backpropagation. I'm not going to waste our time discussing how the machine learning methodology is similar or dissimilar to how a biological brain works. We only need to start with a working definition of what a neural network is. I think the Wikipedia entry is a good start.

In machine learning and cognitive science, Artificial neural networks (ANNs) are a family of statistical learning models inspired by biological neural networks (the central nervous systems of animals, in particular, the brain) and are used to estimate or approximate functions that can ...

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