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e) The neural network below uses Hebb's learning rule. ai Wi W2 X a2 0=1 W3 az Let the initial weights of connections at the

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e) The neural network below uses Hebb's learning rule. ai Wi W2 X a2 0=1 W3 az Let the initial weights of connections at the time step t=1 be wit-l=-1, w2=1 = 2, w3+1 =-1; the learning rate C of the network be 0.25, that is, C = 0.25. Complete the following table t+1 w2 W3 Time at az azt wil wz w3' X Awit Awz! Awz' wit step t=1 1 0 0 -1 2 -1 t=2 0 1 0 t=3 1 1 1 by calculating the network output value X', the changes in each of the three weights of connections Awit, Aw2', and Aw3", and the new weights (wt+l), n=1,2,3, i) ii) iii) at the time step t=1 at the time step t=2 at the time step t=3 [5 marks] [5 marks] [5 marks] e) The neural network below uses Hebb's learning rule. ai Wi W2 X a2 0=1 W3 az Let the initial weights of connections at the time step t=1 be wit-l=-1, w2=1 = 2, w3+1 =-1; the learning rate C of the network be 0.25, that is, C = 0.25. Complete the following table t+1 w2 W3 Time at az azt wil wz w3' X Awit Awz! Awz' wit step t=1 1 0 0 -1 2 -1 t=2 0 1 0 t=3 1 1 1 by calculating the network output value X', the changes in each of the three weights of connections Awit, Aw2', and Aw3", and the new weights (wt+l), n=1,2,3, i) ii) iii) at the time step t=1 at the time step t=2 at the time step t=3 [5 marks] [5 marks] [5 marks]

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