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feat: ✨ Finish IA part

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Louis Gallet
2024-10-31 16:45:15 +01:00
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sections/partie-technique/IA/structure-neuronne/structure-neuronne.tex Normal file
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The structure of this neural network consists of an input layer, a hidden layer, and an output layer. The network is configured to solve the XOR problem, with binary input values and a binary output. The hidden layer, represented by the array \texttt{hiddenLayer}, is connected to the inputs through weights \texttt{hiddenWeights}, while the output layer, \texttt{outputLayer}, is connected to the hidden layer via the weights \texttt{outputWeights}. The biases for each layer are initialized in \texttt{hiddenLayerBias} and \texttt{outputLayerBias}.