We define a neural network as Input layer with 2 inputs, Hidden layer with 4 neurons, Output layer with 1 output neuron and use Sigmoid function as activation function. Each hidden layer computes the weighted sum (`a`) of the inputs then applies an activation function like ReLU (Rectified Linear Unit) to obtain the output (`o`). The output is passed to […]
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