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    Coursera
    Convolutional Neural Networks in TensorFlow
    Week 1
    Week 1 Quiz
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      • Completed
        Video: LectureA conversation with Andrew Ng
        . Duration: 1 minute1 min
      • Completed
        Reading: The cats vs dogs dataset
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureTraining with the cats vs. dogs dataset
        . Duration: 2 minutes2 min
      • Completed
        Reading: Looking at the notebook
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureWorking through the notebook
        . Duration: 4 minutes4 min
      • Completed
        Reading: What you'll see next
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureFixing through cropping
        . Duration: 49 seconds49 sec
      • Completed
        Video: LectureVisualizing the effect of the convolutions
        . Duration: 1 minute1 min
      • Completed
        Video: LectureLooking at accuracy and loss
        . Duration: 1 minute1 min
      • Completed
        Reading: What have we seen so far?
        . Duration: 10 minutes10 min
      • Completed
        Quiz: Week 1 Quiz
        8 questions
      • Completed
        Video: LectureWeek 1 Wrap up
        . Duration: 33 seconds33 sec
    Quiz • 30 min

    Week 1 Quiz

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    Due DateDec 21, 2:59 PM +07
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    Week 1 Quiz
    Graded Quiz • 30 min

    Due Dec 21, 2:59 PM +07

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    Week 1 Quiz

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    1.
    Question 1

    What does flow_from_directory give you on the ImageGenerator?

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    2.
    Question 2

    If my Image is sized 150x150, and I pass a 3x3 Convolution over it, what size is the resulting image?

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    3.
    Question 3

    If my data is sized 150x150, and I use Pooling of size 2x2, what size will the resulting image be?

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    4.
    Question 4

    If I want to view the history of my training, how can I access it?

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    5.
    Question 5

    What’s the name of the API that allows you to inspect the impact of convolutions on the images?

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    6.
    Question 6

    When exploring the graphs, the loss levelled out at about .75 after 2 epochs, but the accuracy climbed close to 1.0 after 15 epochs. What's the significance of this?

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    7.
    Question 7

    Why is the validation accuracy a better indicator of model performance than training accuracy?

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    8.
    Question 8

    Why is overfitting more likely to occur on smaller datasets?

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