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fix: ✏️ Fix XOR to NXOR

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Louis Gallet
2024-11-02 16:02:27 +01:00
parent 5d66a2951e
commit 2655297f4e
5 changed files with 7 additions and 7 deletions
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sections/partie-technique/IA/structure-neuronne/structure-neuronne.tex
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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}.
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 Non-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}.