Coursera

    Goals
  • Subjects

  • Explore all of Coursera
Skip to Main Content
  • Browse
  • Top Courses
  • Profile
  • My Purchases
  • Settings
  • Updates
  • Accomplishments
  • Help Center
    Coursera
    Sequences, Time Series and Prediction
    Week 4
    Week 4 Quiz
    Prev
    Next
      • Completed
        Video: LectureWeek 4 - A conversation with Andrew Ng
        . Duration: 1 minute1 min
      • Completed
        Video: LectureConvolutions
        . Duration: 58 seconds58 sec
      • Completed
        Reading: Convolutional neural networks course
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureBi-directional LSTMs
        . Duration: 3 minutes3 min
      • Completed
        Reading: More on batch sizing
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureLSTM
        . Duration: 1 minute1 min
      • Completed
        Reading: LSTM notebook
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureReal data - sunspots
        . Duration: 3 minutes3 min
      • Completed
        Video: LectureTrain and tune the model
        . Duration: 3 minutes3 min
      • Completed
        Video: LecturePrediction
        . Duration: 1 minute1 min
      • Completed
        Video: LectureSunspots
        . Duration: 1 minute1 min
      • Completed
        Reading: Sunspots notebook
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureCombining our tools for analysis
        . Duration: 3 minutes3 min
      • Warning
        Quiz: Week 4 Quiz
        8 questions
    Quiz

    Week 4 Quiz

    Solid Check
    Submit your assignment
    Due DateJan 11, 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 4 Quiz
    Graded Quiz0

    Due Jan 11, 2:59 PM +07

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

    Week 4 Quiz

    Latest Submission Grade
    100%
    1.
    Question 1

    How do you add a 1 dimensional convolution to your model for predicting time series data?

    1 / 1 point
    Check
    Correct
    2.
    Question 2

    What’s the input shape for a univariate time series to a Conv1D? 

    1 / 1 point
    Check
    Correct
    3.
    Question 3

    You used a sunspots dataset that was stored in CSV. What’s the name of the Python library used to read CSVs?

    1 / 1 point
    Check
    Correct
    4.
    Question 4

    If your CSV file has a header that you don’t want to read into your dataset, what do you execute before iterating through the file using a ‘reader’ object?

    1 / 1 point
    Check
    Correct
    5.
    Question 5

    When you read a row from a reader and want to cast column 2 to another data type, for example, a float, what’s the correct syntax?

    1 / 1 point
    Check
    Correct
    6.
    Question 6

    What was the sunspot seasonality?

    1 / 1 point
    Check
    Correct
    7.
    Question 7

    After studying this course, what neural network type do you think is best for predicting time series like our sunspots dataset?

    1 / 1 point
    Check
    Correct
    8.
    Question 8

    Why is MAE a good analytic for measuring accuracy of predictions for time series?

    1 / 1 point
    Check
    Correct