3. Perceptron
The perceptron belongs to the family of forward propagation neural networks: information is propagated from input to output.
3.1 Single-layer perceptron
Figure 6 shows an example of a single-layer perceptron. It has three inputs: E0 and E1 are the input variables and 1 is a bias input for the sum calculation. Each input has an associated weight. The sum 1 · W0 + E0 · W1 + E1 · W2 is the input to the activation function. The bias 1 · W0 serves to ensure that the sum 1 · W0 + E0 · W1 + E1 · W2, positive or negative, remains close to 0, which is the threshold of the Threshold (Heaviside)...
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Perceptron
Deep neural networks (DNN)
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