Question: Exercise 7.15 In the neural net learning algorithm, the parameters are updated for each example. To compute the derivative accurately, the parameters should be updated

Exercise 7.15 In the neural net learning algorithm, the parameters are updated for each example. To compute the derivative accurately, the parameters should be updated only after all examples have been seen. Implement such a learning algorithm and compare it to the incremental algorithm, with respect to both rate of convergence and to speed of the algorithm.

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