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Article | REF: H3730 V1

Introduction to Neural Networks

Authors: Daniel ETIEMBLE, Fabrice AUZANNEAU

Publication date: March 10, 2023

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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 · W 0 + E 0 · W 1 + E 1 · W 2 is the input to the activation function. The...

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