Week 1 - Gradient Checking function

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun
1

Hello All,

My apologizes as I know I am doing something silly, but I am receiving following error when using gradient_check:

There is a mistake in the backward propagation! difference = 0.9999999999999799

Forward Prop function (ex1) => theta * x
Backward Prod function (ex2)=> dtheta = x (as stated in the exercise prompt)

gradient_check function is as follows:

# moderator edit: code removed

Am I over looking something here? Thank you in advance!

2

Maybe you need more parenthesis.
For example:
1/2*2 is 1, not 1/4.

3

Also, in the future please do not post your code on the forum. That’s not allowed by the Code of Conduct.

If a mentor needs to see your code, we’ll contact you with instructions.

4

Thank you for that. Very silly of me!