hw4_09 - EEL-5840 Fall 2009 Homework Dr. Arroyo EEL5840:...

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EEL-5840 Homework Fall 2009 Dr. Arroyo EEL5840: Machine Intelligence I: Homework #4 (Due Tuesday September 22, 2009) Consider a one-hidden layer feedforward neural network, fully connected between layers, with 2 inputs, 2 hidden units in the first layer, and 1 output. Assume sigmoidal activation functions . a. How many total independent weights are contained in this neural network? Show Work! No Work, No Credit. Answer: ____ independent weights.
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b. Without any local variable s, how many additions, multiplications, and function evaluations ( ± , ± ') are required to compute the output of the neural network in terms of the inputs and the weights of the neural
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hw4_09 - EEL-5840 Fall 2009 Homework Dr. Arroyo EEL5840:...

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