Coursera《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》(Quiz of Week3)
Enhancing Vision with Convolutional Neural Networks
本博客为Coursera上的课程《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第三周的测验。
目录
Coursera课程地址
第一题
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What is a Convolution?
A. A technique to isolate features in images
B. A technique to make images bigger
C. A technique to make images smaller
D. A technique to filter out unwanted images答案：A
第二题
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What is a Pooling?
A. A technique to isolate features in images
B. A technique to combine pictures
C. A technique to reduce the information in an image while maintaining features
D. A technique to make images sharper答案：C
第三题
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How do Convolutions improve image recognition?
A. They make the image clearer
B. They make processing of images faster
C. They isolate features in images
D. They make the image smaller
答案：C
第四题
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After passing a 3x3 filter over a 28x28 image, how big will the output be?
A. 25x25
B. 31x31
C. 28x28
D. 26x26
答案：D
第五题
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After max pooling a 26x26 image with a 2x2 filter, how big will the output be?
A. 13x13
B. 56x56
C. 26x26
D. 28x28
答案：A
第六题
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Applying Convolutions on top of our Deep neural network will make training:
A. It depends on many factors. It might make your training faster or slower, and a poorly designed Convolutional layer may even be less efficient than a plain DNN!
B. Faster
C. Stay the same
D. Slower
答案：A
