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    Coursera
    Convolutional Neural Networks in TensorFlow
    Week 4
    Week 4 Quiz
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      • Completed
        Video: LectureA conversation with Andrew Ng
        . Duration: 3 minutes3 min
      • Completed
        Video: LectureMoving from binary to multi-class classification
        . Duration: 44 seconds44 sec
      • Completed
        Reading: Introducing the Rock-Paper-Scissors dataset
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureExplore multi-class with Rock Paper Scissors dataset
        . Duration: 2 minutes2 min
      • Completed
        Reading: Check out the code!
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureTrain a classifier with Rock Paper Scissors
        . Duration: 1 minute1 min
      • Completed
        Reading: Try testing the classifier
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureTest the Rock Paper Scissors classifier
        . Duration: 2 minutes2 min
      • Completed
        Reading: What have we seen so far?
        . Duration: 10 minutes10 min
      • Quiz
        Quiz: Week 4 Quiz
        8 questions
    Quiz • 30 min

    Week 4 Quiz

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    Due DateJan 11, 2:59 PM +07
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    Week 4 Quiz
    Graded Quiz • 30 min

    Due Jan 11, 2:59 PM +07

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    Week 4 Quiz

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    1.
    Question 1

    The diagram for traditional programming had Rules and Data In, but what came out?

    1 / 1 point
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    2.
    Question 2

    Why does the DNN for Fashion MNIST have 10 output neurons?

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    3.
    Question 3

    What is a Convolution?

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    4.
    Question 4

    Applying Convolutions on top of a DNN will have what impact on training?

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    5.
    Question 5

    What method on an ImageGenerator is used to normalize the image?

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    6.
    Question 6

    When using Image Augmentation with the ImageDataGenerator, what happens to your raw image data on-disk.

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    7.
    Question 7

    Can you use Image augmentation with Transfer Learning?

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    8.
    Question 8

    When training for multiple classes what is the Class Mode for Image Augmentation?

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