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(c) c We will use a single ADLINE classifier to classify 2D real number input into two classes (+1 and -1). The training data is
(c) c We will use a single ADLINE classifier to classify 2D real number input into two classes (+1 and -1). The training data is listed as follows. Input Output (1,2) 1 (-2,3) 1 (1,-2) -1 (-2,-1) -1 Train the ADLINE with online mode using the training data above from the first row to the last row, with the initialization of weights w=[1 0 0]T and n=0.5. For each iteration, calculate the current output of ADLINE (0) and the updated weights (w). Note that you need to show intermediate steps of your calculation. An answer without the intermediate steps will not receive any marks [16 marks] (d) What is the difference between online mode and batch mode when training ADLINE? [4 marks]
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