Emojify_V2 convert indiecs to X

Course Q&A Deep Learning Specialization Sequence Models
1

Can somebody help this is my error?

AssertionError Traceback (most recent call last)
in
28
29
—> 30 Emojify_V2_test(Emojify_V2)

in Emojify_V2_test(target)
22 model = target((maxLen,), word_to_vec_map, word_to_index)
23
—> 24 assert type(model) == Functional, “Make sure you have correctly created Model instance which converts "sentence_indices" into "X"”
25
26 expectedModel = [[‘InputLayer’, [(None, 4)], 0], [‘Embedding’, (None, 4, 2), 30], [‘LSTM’, (None, 4, 128), 67072, (None, 4, 2), ‘tanh’, True], [‘Dropout’, (None, 4, 128), 0, 0.5], [‘LSTM’, (None, 128), 131584, (None, 4, 128), ‘tanh’, False], [‘Dropout’, (None, 128), 0, 0.5], [‘Dense’, (None, 5), 645, ‘linear’], [‘Activation’, (None, 5), 0]]

AssertionError: Make sure you have correctly created Model instance which converts “sentence_indices” into “X”

2

Please ensure that Emojify_V2 returns an instance of Model created using the functional API.

3

Hello skull,

is your issue resolved?

Look into the section where you have to use correct codes while converting sentence_indices into X

This is hint for you to compare with your output to compare if you have applied the correct input, embedding, LSTM, Dropout, Dense and activation to your model :point_down:

Regards
DP

4

Hello, I am facing the same issue while I am running in my local machine. There are no problems when I am running in course era notebook.

I checked type of my model and what is expected.
My model type: <class ‘keras.src.engine.functional.Functional’>
Expected Model type: <class ‘tensorflow.python.keras.engine.functional.Functional’>

Can you help me sort this in my local machine?

5

Running the assignments locally means you have to deal with getting a compatible set of versions of all of the tools and packages.

This task is left to the student.