When multilayer perceptron is better choice over other classification algorithms? Consider a multilayer feed-forward neural network given below. Let the learning rate be 0.5. Assume initial values of weights and biases as given in the table below. Train the network for the training tuples (1, 1, 0) and (0, 1, 1), where last number is target output. Show weight and bias updates by using back-propagation algorithm. Assume that sigmoid activation function is used in the network. (10)

w13 w14 w23 w24 w35 w45 b3 b4 b5
0.5 0.2 -0.3 0.5 0.1 0.3 0.6 -0.4 0.8

  • Answered by Nemi
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  • 4 months ago

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