Coursera

    Goals
  • Subjects

  • Explore all of Coursera
Skip to Main Content
  • Browse
  • Top Courses
  • Profile
  • My Purchases
  • Settings
  • Updates
  • Accomplishments
  • Help Center
    Coursera
    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Week 4
    Week 4 Quiz
    Prev
    Next
      • Completed
        Video: LectureA conversation with Andrew Ng
        . Duration: 2 minutes2 min
      • Completed
        Reading: Explore an impactful, real-world solution
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureUnderstanding ImageGenerator
        . Duration: 4 minutes4 min
      • Completed
        Reading: Designing the neural network
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureDefining a ConvNet to use complex images
        . Duration: 2 minutes2 min
      • Completed
        Reading: Train the ConvNet with ImageGenerator
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureTraining the ConvNet with fit_generator
        . Duration: 2 minutes2 min
      • Completed
        Reading: Exploring the solution
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureWalking through developing a ConvNet
        . Duration: 2 minutes2 min
      • Completed
        Reading: Training the neural network
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureWalking through training the ConvNet with fit_generator
        . Duration: 3 minutes3 min
      • Completed
        Reading: Experiment with the horse or human classifier
        . Duration: 1 hour1h
      • Completed
        Video: LectureAdding automatic validation to test accuracy
        . Duration: 4 minutes4 min
      • Completed
        Reading: Get hands-on and use validation
        . Duration: 30 minutes30 min
      • Completed
        Video: LectureExploring the impact of compressing images
        . Duration: 3 minutes3 min
      • Completed
        Reading: Get Hands-on with compacted images
        . Duration: 30 minutes30 min
      • Completed
        Quiz: Week 4 Quiz
        7 questions
    Quiz

    Week 4 Quiz

    Solid Check
    Submit your assignment
    Due DateJan 11, 2:59 PM +07
    Attempts3 every 8 hours
    Retake the quiz in 7h 58m
    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
    Retake the assignment in 7h 58m
    Grade
    100%

    Week 4 Quiz

    Latest Submission Grade
    100%
    1.
    Question 1

    Using Image Generator, how do you label images?

    1 / 1 point
    Check
    Correct
    2.
    Question 2

    What method on the Image Generator is used to normalize the image?

    1 / 1 point
    Check
    Correct
    3.
    Question 3

    How did we specify the training size for the images?

    1 / 1 point
    Check
    Correct
    4.
    Question 4

    When we specify the input_shape to be (300, 300, 3), what does that mean?

    1 / 1 point
    Check
    Correct
    5.
    Question 5

    If your training data is close to 1.000 accuracy, but your validation data isn’t, what’s the risk here?

    1 / 1 point
    Check
    Correct
    6.
    Question 6

    Convolutional Neural Networks are better for classifying images like horses and humans because:

    1 / 1 point
    Check
    Correct
    7.
    Question 7

    After reducing the size of the images, the training results were different. Why?

    1 / 1 point
    Check
    Correct