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    Coursera
    Natural Language Processing in TensorFlow
    Week 1
    Week 1 Quiz
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      • Completed
        Video: LectureIntroduction
        . Duration: 1 minute1 min
      • Completed
        Video: LectureWord based encodings
        . Duration: 2 minutes2 min
      • Completed
        Video: LectureUsing APIs
        . Duration: 2 minutes2 min
      • Completed
        Reading: Check out the code!
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureNotebook for lesson 1
        . Duration: 2 minutes2 min
      • Completed
        Video: LectureText to sequence
        . Duration: 3 minutes3 min
      • Completed
        Video: LectureLooking more at the Tokenizer
        . Duration: 1 minute1 min
      • Completed
        Video: LecturePadding
        . Duration: 2 minutes2 min
      • Completed
        Reading: Check out the code!
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureNotebook for lesson 2
        . Duration: 4 minutes4 min
      • Completed
        Video: LectureSarcasm, really?
        . Duration: 2 minutes2 min
      • Completed
        Video: LectureWorking with the Tokenizer
        . Duration: 1 minute1 min
      • Completed
        Reading: News headlines dataset for sarcasm detection
        . Duration: 10 minutes10 min
      • Completed
        Reading: Check out the code!
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureNotebook for lesson 3
        . Duration: 3 minutes3 min
      • Completed
        Quiz: Week 1 Quiz
        8 questions
      • Completed
        Video: LectureWeek 1 Wrap up
        . Duration: 21 seconds21 sec
    Quiz

    Week 1 Quiz

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    Due DateDec 21, 2:59 PM +07
    Attempts3 every 8 hours
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    Week 1 Quiz
    Graded Quiz0

    Due Dec 21, 2:59 PM +07

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    Week 1 Quiz

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    1.
    Question 1

    What is the name of the object used to tokenize sentences?

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    2.
    Question 2

    What is the name of the method used to tokenize a list of sentences?

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    3.
    Question 3

    Once you have the corpus tokenized, what’s the method used to encode a list of sentences to use those tokens?

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    4.
    Question 4

    When initializing the tokenizer, how to you specify a token to use for unknown words?

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    5.
    Question 5

    If you don’t use a token for out of vocabulary words, what happens at encoding?

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    6.
    Question 6

    If you have a number of sequences of different lengths, how do you ensure that they are understood when fed into a neural network?

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    7.
    Question 7

    If you have a number of sequences of different length, and call pad_sequences on them, what’s the default result?

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    8.
    Question 8

    When padding sequences, if you want the padding to be at the end of the sequence, how do you do it?

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