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Neural Networks Give a neural network with the following structure: 1 input neuron, 4 neurons in the hidden layer, 1 output neuron. The output of the hidden layer is fed to a sigmoid function (S(z) = 1/(1+e^(-z))) to produce the binary output at the output neuron, where z is the input to the output neuron. The weights between the input neuron and the neurons in the hidden layer have the following values: w11 = -3, w12 = 2, w13 = -1, w14 = 0.5 The weights between neurons in the hidden layer and the output neuron are: w21 = +2, w22 = -0.5, w23 = -3, w24 = +1 There is no bias input in both layers. Question: If the number 3 is given to the input neuron, what will be the output at the output neuron?

          Neural Networks
Give a neural network with the following structure: 1 input neuron, 4 neurons in the hidden layer, 1 output neuron.
The output of the hidden layer is fed to a sigmoid function (S(z) = 1/(1+e^(-z))) to produce the binary output at the output neuron, where z is the input to the output neuron.
The weights between the input neuron and the neurons in the hidden layer have the following values: w11 = -3, w12 = 2, w13 = -1, w14 = 0.5
The weights between neurons in the hidden layer and the output neuron are: w21 = +2, w22 = -0.5, w23 = -3, w24 = +1
There is no bias input in both layers.
Question:
If the number 3 is given to the input neuron, what will be the output at the output neuron?

Added by Margarita L.

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