QUESTION 2 [30 MARKS Applying the techniques in Artificial Neural Networks, given the architecture and table of values below: H: Value 1 1 0.10 H 0.6 Input Name 1 12 WIH WI,H2 WIH WIH WI2H2 WIH, WHO WH:0 WHO H 0.5 0.4 0.11 0.7 0.5 0.7 0.11 Perform: A. Forward Propagation and show output for: i. Sum of Weights for H1, H2 and H3 (4 Marks) ii. Activation Values for H, H2 and Hy, using Sigmoid (4 Marks) iii. Output and Output Error (2 Marks) B. Backward Propagation given the training parameter of 0.25 and mobility factor of 0.0001: i Gradient values for O, H, H2 and Hz (10 Marks) ii. New weights value for WIH, WI,H2, WI, H3, WI:H, WI:H2 and WI:Hz (10 Marks) QUESTION 2 [30 MARKS Applying the techniques in Artificial Neural Networks, given the architecture and table of values below: H: Value 1 1 0.10 H 0.6 Input Name 1 12 WIH WI,H2 WIH WIH WI2H2 WIH, WHO WH:0 WHO H 0.5 0.4 0.11 0.7 0.5 0.7 0.11 Perform: A. Forward Propagation and show output for: i. Sum of Weights for H1, H2 and H3 (4 Marks) ii. Activation Values for H, H2 and Hy, using Sigmoid (4 Marks) iii. Output and Output Error (2 Marks) B. Backward Propagation given the training parameter of 0.25 and mobility factor of 0.0001: i Gradient values for O, H, H2 and Hz (10 Marks) ii. New weights value for WIH, WI,H2, WI, H3, WI:H, WI:H2 and WI:Hz (10 Marks)