Question: Consider a feed-forward fully-connected neural network containing an input layer composed of 8 inputs, followed by one hidden layer with 5 neurons, and finally one

Consider a feed-forward fully-connected neural network containing an input layer composed of 8 inputs, followed by one hidden layer with 5 neurons, and finally one output layer with 1 neuron. Suppose that all neurons use the sigmoid activation function. (a) Draw a representative figure for the described neural network. (b) What is the total number of weights and biases associated with the neurons in the network?

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