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    Coursera
    Convolutional Neural Networks in TensorFlow
    Week 2
    Week 2 Quiz
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      • Completed
        Video: LectureA conversation with Andrew Ng
        . Duration: 2 minutes2 min
      • Completed
        Reading: Image Augmentation
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureIntroducing augmentation
        . Duration: 2 minutes2 min
      • Completed
        Reading: Start Coding...
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureCoding augmentation with ImageDataGenerator
        . Duration: 3 minutes3 min
      • Completed
        Reading: Looking at the notebook
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureDemonstrating overfitting in cats vs. dogs
        . Duration: 1 minute1 min
      • Completed
        Reading: The impact of augmentation on Cats vs. Dogs
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureAdding augmentation to cats vs. dogs
        . Duration: 1 minute1 min
      • Completed
        Reading: Try it for yourself!
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureExploring augmentation with horses vs. humans
        . Duration: 1 minute1 min
      • Completed
        Reading: What have we seen so far?
        . Duration: 10 minutes10 min
      • Quiz
        Quiz: Week 2 Quiz
        8 questions
      • Completed
        Video: LectureWeek 2 Wrap up
        . Duration: 37 seconds37 sec
    Quiz • 30 min

    Week 2 Quiz

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    Due DateDec 28, 2:59 PM +07
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    Week 2 Quiz
    Graded Quiz • 30 min

    Due Dec 28, 2:59 PM +07

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    Week 2 Quiz

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    1.
    Question 1

    How do you use Image Augmentation in TensorFLow

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    2.
    Question 2

    If my training data only has people facing left, but I want to classify people facing right, how would I avoid overfitting?

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    3.
    Question 3

    When training with augmentation, you noticed that the training is a little slower. Why?

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    4.
    Question 4

    What does the fill_mode parameter do?

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    5.
    Question 5

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

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    6.
    Question 6

    How does Image Augmentation help solve overfitting?

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    7.
    Question 7

    When using Image Augmentation my training gets...

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    8.
    Question 8

    Using Image Augmentation effectively simulates having a larger data set for training.

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