How to convert deep learning gradient descent equation into python
I've been following an online tutorial on deep learning. It has a practical question on gradient descent and cost calculations where I been struggling to get the given answers once it was converted to python code. Hope you can kindly help me get the correct answer please Please see the following link for the equations used Click here to see the equations used for the calculations Following is the function given to calculate the gradient descent,cost etc. The values need to be found without using for loops but using matrix manipulation operations import numpy as np def propagate(w, b, X, Y): ""