Coursera《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》(Quiz of Week2)
Introduction to Computer Vision
本博客为Coursera上的课程《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第二周的测验。
目录
Coursera课程地址
第一题
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What’s the name of the dataset of Fashion images used in this week’s code?
A. Fashion MN
B. Fashion Tensors
C. Fashion MNIST
D. Fashion Data答案：C
第二题
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What do the above mentioned Images look like?
A. 82x82 Greyscale
B. 28x28 Greyscale
C. 28x28 Color
D. 100x100 Color答案：B
第三题
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How many images are in the Fashion MNIST dataset?
A. 42
B. 60,000
C. 10,000
D. 70,000
答案：D
第四题
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Why are there 10 output neurons?
A. To make it train 10x faster
B. There are 10 different labels
C. To make it classify 10x faster
D. Purely arbitrary
答案：B
第五题
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What does Relu do?
A. It returns the negative of x
B. It only returns x if x is less than zero
C. It only returns x if x is greater than zero
D. For a value x, it returns 1/x
答案：C
第六题
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Why do you split data into training and test sets?
A. To make testing quicker
B. To train a network with previously unseen data
C. To make training quicker
D. To test a network with previously unseen data
答案：D
第七题
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What method gets called when an epoch finishes?
A. on_epoch_end
B. on_end
C. On_training_complete
D. on_epoch_finished
答案：A
第八题
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What parameter to you set in your fit function to tell it to use callbacks?
A. callback=
B. oncallback=
C. callbacks=
D. oncallbacks=
答案：C
