Coursera

    Goals
  • Subjects

  • Explore all of Coursera
Skip to Main Content
  • Browse
  • Top Courses
  • Profile
  • My Purchases
  • Settings
  • Updates
  • Accomplishments
  • Help Center
    Coursera
    Natural Language Processing in TensorFlow
    Week 2
    Week 2 Quiz
    Prev
    Next
      • Completed
        Video: LectureA conversation with Andrew Ng
        . Duration: 2 minutes2 min
      • Completed
        Video: LectureIntroduction
        . Duration: 2 minutes2 min
      • Completed
        Video: LectureThe IMBD dataset
        . Duration: 1 minute1 min
      • Completed
        Reading: IMDB reviews dataset
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureLooking into the details
        . Duration: 4 minutes4 min
      • Completed
        Video: LectureHow can we use vectors?
        . Duration: 2 minutes2 min
      • Completed
        Video: LectureMore into the details
        . Duration: 2 minutes2 min
      • Completed
        Reading: Check out the code!
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureNotebook for lesson 1
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureRemember the sarcasm dataset?
        . Duration: 1 minute1 min
      • Completed
        Video: LectureBuilding a classifier for the sarcasm dataset
        . Duration: 1 minute1 min
      • Completed
        Video: LectureLet’s talk about the loss function
        . Duration: 1 minute1 min
      • Completed
        Reading: Check out the code!
        . Duration: 10 minutes10 min
      • Completed
        Video: LecturePre-tokenized datasets
        . Duration: 43 seconds43 sec
      • Completed
        Reading: TensorFlow datasets
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureDiving into the code (part 1)
        . Duration: 1 minute1 min
      • Completed
        Reading: Subwords text encoder
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureDiving into the code (part 2)
        . Duration: 2 minutes2 min
      • Completed
        Reading: Check out the code!
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureNotebook for lesson 3
        . Duration: 5 minutes5 min
      • Completed
        Quiz: Week 2 Quiz
        8 questions
      • Completed
        Reading: Week 2 Wrap up
        . Duration: 10 minutes10 min
    Quiz

    Week 2 Quiz

    Solid Check
    Submit your assignment
    Due DateDec 28, 2:59 PM +07
    Attempts3 every 8 hours
    Solid Check
    Receive grade
    To Pass80% or higher
    Grade
    100%
    We keep your highest score

    Confirm Navigation

    Are you sure you want to leave this page?
      

    Confirm Navigation

    Are you sure you want to leave this page?
      
    Week 2 Quiz
    Graded Quiz0

    Due Dec 28, 2:59 PM +07

    Check
    Congratulations! You passed!
    To Pass 80% or higher
    Grade
    100%

    Week 2 Quiz

    Latest Submission Grade
    100%
    1.
    Question 1

    What is the name of the TensorFlow library containing common data that you can use to train and test neural networks?

    1 / 1 point
    Check
    Correct
    2.
    Question 2

    How many reviews are there in the IMDB dataset and how are they split?

    1 / 1 point
    Check
    Correct
    3.
    Question 3

    How are the labels for the IMDB dataset encoded?

    1 / 1 point
    Check
    Correct
    4.
    Question 4

    What is the purpose of the embedding dimension?

    1 / 1 point
    Check
    Correct
    5.
    Question 5

    When tokenizing a corpus, what does the num_words=n parameter do?

    1 / 1 point
    Check
    Correct
    6.
    Question 6

    To use word embeddings in TensorFlow, in a sequential layer, what is the name of the class?

    1 / 1 point
    Check
    Correct
    7.
    Question 7

    IMDB Reviews are either positive or negative. What type of loss function should be used in this scenario?

    1 / 1 point
    Check
    Correct
    8.
    Question 8

    When using IMDB Sub Words dataset, our results in classification were poor. Why?

    1 / 1 point
    Check
    Correct