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    Coursera
    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Week 3
    Week 3 Quiz
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      • Completed
        Video: LectureA conversation with Andrew Ng
        . Duration: 1 minute1 min
      • Completed
        Video: LectureWhat are convolutions and pooling?
        . Duration: 2 minutes2 min
      • Completed
        Reading: Coding convolutions and pooling layers
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureImplementing convolutional layers
        . Duration: 1 minute1 min
      • Completed
        Reading: Learn more about convolutions
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureImplementing pooling layers
        . Duration: 4 minutes4 min
      • Completed
        Reading: Getting hands-on, your first ConvNet
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureImproving the Fashion classifier with convolutions
        . Duration: 4 minutes4 min
      • Completed
        Reading: Try it for yourself
        . Duration: 1 hour1h
      • Completed
        Video: LectureWalking through convolutions
        . Duration: 3 minutes3 min
      • Completed
        Reading: Experiment with filters and pools
        . Duration: 1 hour1h
      • Completed
        Quiz: Week 3 Quiz
        6 questions
    Quiz

    Week 3 Quiz

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    Week 3 Quiz
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    Due Jan 4, 2:59 PM +07

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    Week 3 Quiz

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    1.
    Question 1

    What is a Convolution?

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    2.
    Question 2

    What is a Pooling?

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    3.
    Question 3

    How do Convolutions improve image recognition?

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    4.
    Question 4

    After passing a 3x3 filter over a 28x28 image, how big will the output be?

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    5.
    Question 5

    After max pooling a 26x26 image with a 2x2 filter, how big will the output be?

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    6.
    Question 6

    Applying Convolutions on top of our Deep neural network will make training:

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