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.

Topic		Replies	Views
https://www.coursera.org/learn/neural-networks-deep-learning/programming/thQd4/logistic-regression-with-a-neural-network-mindset Neural Networks and Deep Learning coursera-platform	2	546	July 6, 2021
Week 2 Exercise 6 optimize Neural Networks and Deep Learning coursera-platform	3	595	September 28, 2021
Help ! An error come from the source code that the course provided Neural Networks and Deep Learning coursera-platform	7	310	November 18, 2023
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