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A multilayer perceptron is a kind of feed forward artificial neural network, which is a mathematic model inspired by the biological neural network. The multilayer perceptron can be used for various machine learning tasks such as classification and regression.
Here is an example multilayer perceptron:
https://docs.google.com/drawings/d/1DCsL5UiT6eqglZDaVS1Ur0uqQyNiXbZDAbDWtiSPWX8/pub?w=813&h=368
The basic component of a multilayer perceptron is the neuron. A typical multilayer perceptron consists of at least two layers of neurons, including one input layer, zero or more hidden layers, and one output layers.
How Multilayer Perceptron works?
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