Question: 2. Suppose that a given neural network does not fit a training set closely enough, even after backprop has been run to termination. How can

 2. Suppose that a given neural network does not fit a

2. Suppose that a given neural network does not fit a training set closely enough, even after backprop has been run to termination. How can the structure of the network be modified to fit the training set more accurately Consider the classification problem defined below pi=[11],t1=1&p2=[11],t2=1&p3=[00],t3=0&p4=[10],t4=0

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