Everythig seems to work “all tests passed” but get the following error when I submit for a grade:
Cell #UNQ_C4. Can’t compile the student’s code. Error: NameError(“name ‘activa’ is not defined”)
I can’t find name ‘activa’ anywhere in my code
Hi @Joshua_Neft
In the cell UNQ_C4
Make sure that you use parameter activation = ‘…’ in the dense function like this command tf.keras.layers.Dense(…, activation=“…”), and abbreviations for the word activation
Cheers,
Abdelrahman
@Joshua_Neft
you code is right but there are an importing cell didn’t found in your assignment
# UNQ_C4
# GRADED CELL: model_s
tf.random.set_seed(1234)
model_s = Sequential(
[
### START CODE HERE ###
### END CODE HERE ###
], name = "Simple"
)
model_s.compile(
### START CODE HERE ###
loss=None,
optimizer=None,
### START CODE HERE ###
)
import logging
logging.getLogger("tensorflow").setLevel(logging.ERROR)
# BEGIN UNIT TEST
model_s.fit(
X_train,y_train,
epochs=1000
)
# END UNIT TEST
# BEGIN UNIT TEST
model_s.summary()
model_s_test(model_s, classes, X_train.shape[1])
# END UNIT TEST
Cheers,
Abdelrahman
“There is an importing cell I didn’t find”
Can you elaborate, please.
Thank you for your help.
your assignment code isn’t complete may you delete cell without noticing, or you merged several cells together and forgot to take a code, or there is a problem with Coursera… you cell implementation must be like that only
where did you got this
it’s in next cell and before it you want to use this code
import logging
logging.getLogger("tensorflow").setLevel(logging.ERROR)
like this image
Uploading: image.png…
so you want to correct the cells like that first remove the cell of your problem and copy these cell instead of it and implement it again .
this in the separate cell
# UNQ_C4
# GRADED CELL: model_s
tf.random.set_seed(1234)
model_s = Sequential(
[
### START CODE HERE ###
### END CODE HERE ###
], name = "Simple"
)
model_s.compile(
### START CODE HERE ###
loss=None,
optimizer=None,
### START CODE HERE ###
)
this is in the next cell
import logging
logging.getLogger("tensorflow").setLevel(logging.ERROR)
# BEGIN UNIT TEST
model_s.fit(
X_train,y_train,
epochs=1000
)
# END UNIT TEST
this is in the next cell
# BEGIN UNIT TEST
model_s.summary()
model_s_test(model_s, classes, X_train.shape[1])
# END UNIT TEST
@Joshua_Neft
you can get fresh assignment by doing these steps file → open → select running assignment and doing shutdown and select all file and delete it → after that select help
like this image and choose →
Cheers!
Abdelrahman
Hello
I can’t open the lab. I confront this error:‘Your lab session has timed out’
I asked coursera’s support center but they have not answered me yet.
do you what must I do?
First thing:
Check whether your computer’s clock and time zone are set correctly.