Week 4 assignment part 1 Exercise 5 L_model_forward

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

I’m trying to complete the forward propagation module
what is the matter with my code :confused:

Screenshot 2021-07-22 174141
Screenshot 2021-07-22 1741411351×591 35.8 KB

2

i got this
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

however Expected output

AL = [[0.03921668 0.70498921 0.19734387 0.04728177]

3

For starters, your AL value is 3 x 4, but the expected value for that is 1 x 4. The first step in a case like this is to do the “dimensional analysis” in order to understand what you should get at every level. Here is a thread which goes through that for the “2hidden” test case for L_model_forward. Please read that thread and then start examining what your code is actually producing at each layer and comparing it to the correct shapes.

1 Like
4

Hi, did you manage to solve your problem?
I am having a same issue now