Define an mlp network with two sigmoid hidden units

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Reference no: EM131468407

Question: Apply an MLP network with two sigmoid hidden units and a single linear output unit trained with the standard backpropagation learning algorithm to solve the XOR problem.

- Test the network sensitivity to various values of α; that is, test the convergence time of the algorithm for different values of α. Tip: start with α = 0.001 and vary it until α = 0.5.

- For a fixed value of α draw the decision boundaries constructed for each hidden unit, and the decision boundary constructed by the complete network.

- Can you solve this problem with a single hidden unit? Justify your answer.

Reference no: EM131468407

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