why are we creating deep copy of w and b and saving them into themselves in optimize function? def optimize(w, b, X, Y, num_iterations=100, learning_rate=0.009, print_cost=False): “”" This function optimizes w and b by running a gradient descent algorithm Arguments: w -- weights, a numpy array o…

Course 1: Week 2 Logistic_Regression_with_a_Neural_Network_mindset

paulinpaloalto September 16, 2021, 3:05am 3

Please see this thread for the explanation.

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