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Q2. [20 marks] Consider the following illustrated neural network in the figure below. Applying the back-propagation training, suppose that u receives a netinput stimulus of 2.33, the learning constant n is 0.25, and the outgoing weight vector of us is currently Whout = [-0.4, 0.28, 1.2]. Answer the following: eg = 0.1 eo = 0.32 4 1 = 0.46 Output layer U19 U11 Wu Hidden layer UF U7 Us Wan 0.5 0.1 0 Input layer a. [10 marks] What is the error signal on ur? b. [10 marks] What is the change to that unit's incoming weight vector Aw6in? Q2. [20 marks] Consider the following illustrated neural network in the figure below. Applying the back-propagation training, suppose that u receives a netinput stimulus of 2.33, the learning constant n is 0.25, and the outgoing weight vector of us is currently Whout = [-0.4, 0.28, 1.2]. Answer the following: eg = 0.1 eo = 0.32 4 1 = 0.46 Output layer U19 U11 Wu Hidden layer UF U7 Us Wan 0.5 0.1 0 Input layer a. [10 marks] What is the error signal on ur? b. [10 marks] What is the change to that unit's incoming weight vector Aw6in