Question: Take the function J ( x 1 , x 2 , x 3 ) = tanh ( x 1 + relu ( x 2 )

Take the function J(x1,x2,x3)= tanh(x1+ relu(x2)+2*x1*x3+ x1*x2*x3). Minimize the function J using the gradient-descent algorithm in Python. Initialize gradient descent randomly. Adjust the learning rate and number of iterations by plotting J.

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