January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Multilayer Perceptron
The Multilayer Perceptron (MLP) extends the idea of the perceptron by using numerous nodes, each one implementing a perceptron. The nodes in the MLP are arranged in layers, and each layer is connected to the next. The basic structure of the MLP is illustrated in the following diagram:
The basic structure of a Multilayer Perceptron
The Multilayer Perceptron consists of three main parts:
- Input layer: Receives the input values and connects each of them to every neuron in the next layer.
- Output Layer: Delivers the results calculated by the MLP. When the MLP is used as a classifier, each of the outputs represents one of ...
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