Asssignment - Week3-II - Image Segmentation With UNET

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

I am getting the following error in GRADED FUNCTION: conv_block :slight_smile:
Block 2 Test Fails : (Block1 Test is fine)
[‘InputLayer’, [(None, 96, 128, 3)], 0]
[‘Conv2D’, (None, 96, 128, 1024), 28672, ‘same’, ‘relu’, ‘HeNormal’]
[‘Conv2D’, (None, 96, 128, 1024), 9438208, ‘same’, ‘relu’, ‘HeNormal’]
[‘Dropout’, (None, 96, 128, 1024), 0, 0.1]
[‘MaxPooling2D’, (None, 48, 64, 1024), 0, (2, 2)]
Test failed
Expected value

[‘Conv2D’, (None, 96, 128, 1024), 28672, ‘same’, ‘relu’, ‘He_Normal’]

does not match the input value:

[‘Conv2D’, (None, 96, 128, 1024), 28672, ‘same’, ‘relu’, ‘HeNormal’]

AssertionError Traceback (most recent call last)
in
30 print(layer)
31
—> 32 comparator(summary(model2), output2)

/tf/W3A2/test_utils.py in comparator(learner, instructor)
17 “\n\n does not match the input value: \n\n”,
18 colored(f"{a}", “red”))
—> 19 raise AssertionError(“Error in test”)
20 print(colored(“All tests passed!”, “green”))
21

AssertionError: Error in test

2

It looks like you might have accidentally modified the code in the unit test to use “He_Normal” instead of “HeNormal”.