Advanced Learning Algorithms - C2_W1_Assignment issue

[johnfelipe]

# UNIT TESTS
from public_tests import * 

test_c1(model)

with this log

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-9-c43f6ee12586> in <module>
      2 from public_tests import *
      3 
----> 4 test_c1(model)

~/work/public_tests.py in test_c1(target)
      7 def test_c1(target):
      8     assert len(target.layers) == 3, \
----> 9         f"Wrong number of layers. Expected 3 but got {len(target.layers)}"
     10     assert target.input.shape.as_list() == [None, 400], \
     11         f"Wrong input shape. Expected [None,  400] but got {target.input.shape.as_list()}"

AssertionError: Wrong number of layers. Expected 3 but got 0

[kaieye]

Sorry that I am not familiar with Tensorflow. I think that you can click the Hint below the cell first, which helps a lot.
If you agree, give me your code of function can help me get deeper insight into your problem

[johnfelipe]

Advanced Learning Algorithms/week1/9.Practice Lab Neural networks/C2_W1_Assignment.ipynb

is stop in step 9, how solve?

[kaieye]

fill the code in the function of model

[johnfelipe]

can u upload file with all complete?

[kaieye]

I haven't done yet, but I think you can find the answer in the "Click for hints"

[johnfelipe]

i will wait, pls ping me when you done

[kaieye]

deal, within seven days

[kaieye]

check

[usernameuiui]

[KasrAskari]

I wrote the code for this model, and I also have confirmation of the output correctness for the summary, but in the section:

# UNQ_C1
# GRADED CELL: Sequential model

model = Sequential(
    [               
        tf.keras.Input(shape=(400,)),    #specify input size
        ### START CODE HERE ### 
        
        tf.keras.layers.Dense(25, activation='sigmoid'),
        tf.keras.layers.Dense(15, activation='sigmoid'),
        tf.keras.layers.Dense(1, activation='sigmoid')
        
        ### END CODE HERE ### 
    ], name = "my_model" 
)                            

# UNIT TESTS
from public_tests import *
test_c1(model)

I'm getting this error:

AttributeError                            Traceback (most recent call last)
Cell In[13], line 4
      1 # UNIT TESTS
      2 from public_tests import *
----> 4 test_c1(model)

File c:\Users\Asus\ML\Home\Helper\Machine Learning\Coursera\2- Advanced\Week 1\Practice-Lab\public_tests.py:10, in test_c1(target)
      7 def test_c1(target):
      8     assert len(target.layers) == 3, \
      9         f"Wrong number of layers. Expected 3 but got {len(target.layers)}"
---> 10     assert target.input.shape.as_list() == [None, 400], \
     11         f"Wrong input shape. Expected [None,  400] but got {target.input.shape.as_list()}"
     12     i = 0
     13     expected = [[Dense, [None, 25], tf_keras_sigmoid],
     14                 [Dense, [None, 15], tf_keras_sigmoid],
     15                 [Dense, [None, 1], tf_keras_sigmoid]]

File c:\Users\Asus\ML\mymlvenv\Lib\site-packages\keras\src\ops\operation.py:254, in Operation.input(self)
    244 @property
    245 def input(self):
    246     """Retrieves the input tensor(s) of a symbolic operation.
    247 
    248     Only returns the tensor(s) corresponding to the *first time*
   (...)
    252         Input tensor or list of input tensors.
    253     """
--> 254     return self._get_node_attribute_at_index(0, "input_tensors", "input")

File c:\Users\Asus\ML\mymlvenv\Lib\site-packages\keras\src\ops\operation.py:285, in Operation._get_node_attribute_at_index(self, node_index, attr, attr_name)
    269 """Private utility to retrieves an attribute (e.g. inputs) from a node.
    270 
    271 This is used to implement the properties:
   (...)
    282     The operation's attribute `attr` at the node of index `node_index`.
    283 """
    284 if not self._inbound_nodes:
--> 285     raise AttributeError(
    286         f"The layer {self.name} has never been called "
    287         f"and thus has no defined {attr_name}."
    288     )
    289 if not len(self._inbound_nodes) > node_index:
    290     raise ValueError(
    291         f"Asked to get {attr_name} at node "
    292         f"{node_index}, but the operation has only "
    293         f"{len(self._inbound_nodes)} inbound nodes."
    294     )

AttributeError: The layer my_model has never been called and thus has no defined input.
``