Week 1, Assignment 2: Problem with test cases

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

I needed to add the following code after creating the happy_model (sequential API) for the test cases to pass:

happy_model = happyModel() 
# The following line needed to be added
happy_model.build(input_shape=(None,64,64,3)) 
# Print a summary for each layer
for layer in summary(happy_model):
    print(layer)

My code was running, model was training OK but the test cases did not succeed till I made the change. Am I doing something wrong?

2

Which week of the course are you working on ?

3

Week 1, assignment 2.

4

The blank notebook already has the required code:

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What error do you get if you don’t add happy_model.build(…)?

5 
AttributeError: The layer has never been called and thus has no defined output shape.

Since I could not figure out how to change code in the coursera notebook environment, I added

model.build(input_shape=(None,64,64,3)) 
return model

In the happy_model function which made the test cases pass. This looks (and feels) rather bad but it makes the auto-grader happy so I ended up submitting like this.

6

Are you using Coursera Labs, or are you running the code in some other environment?

Because there’s no need to add model.build().

7

Using coursera lab. Try running the code in lab - you should get the error.

8

I have run the lab, and I don’t get any error. And I didn’t use model.build().

Please download your ipynb notebook file and send it to me attached to a private message.