Exercise 5 - L_model_forward giving error

Course Q&A Deep Learning Specialization Neural Networks and Deep Learning
1

I am getting following output - when I run this function

AL = [[0.90589057 0.75020632 0.05200643 0.82351754]
[0.99823392 0.08462048 0.01610661 0.98885794]
[0.9999688 0.33941221 0.83703792 0.99971951]]
Error: Wrong shape for variable 0.
Error: Wrong shape for variable 0.
Error: Wrong shape for variable 1.
Error: Wrong shape for variable 2.
Error: Wrong shape for variable 1.
Error: Wrong output for variable 0.
Error: Wrong output for variable 0.
Error: Wrong output for variable 1.
Error: Wrong output for variable 2.
Error: Wrong output for variable 1.
1 Tests passed
2 Tests failed

Not sure - what I am missing here
I am calling linear_activation_forward function with following input parameters
A_prev
parameters[‘W’ + str(l)]
parameters[‘b’ + str(l)],
“relu”
and second time with “sigmoid”

2

But for the second time, with sigmoid, we only want the parameters of the Last Layer which is L, not l. And, A, not previous A.
Best,
Saif.

1 Like
3

Thanks its working now

4

Glad to know that… :+1: :+1: :+1: