Question: Consider a 3 - layer perceptron neural network consisting of 1 input neuron, 2 hidden neurons with sigmoid activation functions, and 1 output neuron with

Consider a 3-layer perceptron neural network consisting of 1 input neuron, 2
hidden neurons with sigmoid activation functions, and 1 output neuron with linear
activation function. Assuming v1 and v2 represent the connection weights from
the hidden neurons to the output neuron, v0 represents the bias for the output
neuron, w 11 and w 21 represent the connection weights from the input neuron to
the hidden neurons, and w 10 and w 20 represent the biases for the 2 hidden
neurons. Let x represent the input to the neural network and y represent the output
from the neural network

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