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A multilayer perceptron consists of an input of size 5, fully connected to a hid...

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A multilayer perceptron consists of an input of size 5, fully connected to a hidden layer of size 20, fully connected to an output of size 3. 

Given a bias is used at each hidden node and each output node, what is the total number of parameters that need to be learned for this network?

 

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