All my previous blocks
ran without error but for this final nn model I am getting errors.
It is perfectly possible for a correct subroutine to throw errors if you pass it bad (e.g. mismatching) arguments. So if your forward_propagation function passed the tests earlier, then the bug is probably in your nn_model logic somehow. But you may have to add some instrumentation in forward_propagation to figure out what went wrong. Anytime you get a “dimension mismatch” error, the first question is “well, what are the dimensions?” Put print statements in forward_propagation to show the shapes of A2 and X. Which one is correct? Now you have to track backwards to figure out where things went off the rails.
1 Like
@Aniruddha_Rokade, yes, track your previous codes. You might get it solved on your own. I was having the same sort of problem in nn_model case, got errors in cost computing. It was asking to check the number of arguments I was running in compute_cost from the previous passings.
Okay sir. I did backtracking but I am unable to find the bug. All shapes in previous models are right but in the nn_model it is showing wrong shape for W1.
Yes Rashmi you are right but somehow dimensions of parameters are changing in the Last nn_model . I track backward but nothing found.
I went again through code , n_h in layer sizes was missing after putting I got desired results. Thank You for your guidance.
Hi,
I am having an error also in the same nn Model but different error:
I cannot find where is my error, can you please let me?
Patricia
The error message says that your “parameters” variable is a tuple, but it should be a dictionary.
So check your code that defines “parameters”.
Also, please don’t share your code on the forum. That’s not allowed by the Code of Conduct.
And, this thread has been cold for four years. It would be better if you start a new thread.