C3W1_Practice_Assignment: Prepare Data Error

[Poornima_Dongre]

Hi Team,

I am getting error in the ‘prepare the data’ section of the C3W1_Practice_Assignment: Sentiment with Deep Neural Networks. All my previous tests are passes. Please help with the error.

[paulinpaloalto]

I’m not familiar with the details of that assignment (yet anyway), but that error typically means that you have accidentally used parens when you meant to use square brackets to index a string, array or list. For example:

name = "Fred Flintstone"
lastchar = name(-1)

When you really meant to write:

lastchar = name[-1]

[paulinpaloalto]

If that suggestion doesn’t shed any light, the next step would be to show the full exception trace so that we can see the actual line in your code that triggers the error.

[Deepti_Prasad]

C3W1 Cannot build model error

Thank you @nithyau_ramkumar for the images in the gru layer, instruction mentions return_sequences and return_state need to be set to true which you haven’t, please add these too, so the sequence modelling passed on to the def call Regards DP

C1_W1 Practic Assignment: Calculate the length of the longest tweet

Hi @skinx.learning Notice the below code after recalling the max_len function is using the length of the dataset max_len = max_length(train_x, val_x) print(f’The length of the longest tweet is {max_len} tokens.') But in the max_len function code to calculate the longest tweet requires you to use arguments given the grader cell which is training_x (list): The tweets in the training set. validation_x (list): The tweets in the validation set. So you need to use training_x and validation_x, a…

C1_W1 Practic Assignment: Calculate the length of the longest tweet

Hello @skinx.learning The way you have recalled the function is incorrect Probably this histogram plot image will guide you to do the correction [Screenshot 1946-02-09 at 1.30.31 PM] To calculate the max len of the longest tweet, you need to calculate max of length of tweet in the given sets of tweets in the assigned argument call of training_x and validation x Regards DP

Also share screenshot of the build your vocabulary unit test result, did you pass the test?