March 2020
Intermediate to advanced
366 pages
9h 8m
English
MLPs have been around for a while. MLPs are artificial neural networks (ANNs) used to convert a set of input data into a set of output data.
At the heart of an MLP is a perceptron, which resembles (yet overly simplifies) a biological neuron. By combining a large number of perceptrons in multiple layers, the MLP is able to make nonlinear decisions about its input data. Furthermore, MLPs can be trained with backpropagation, which makes them very interesting for supervised learning.
The following section explains the concept of a perceptron.
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