Coursera《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》(Quiz of Week1)
本博客为Coursera上的课程《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第一周的测验。
目录
Coursera课程地址
第一题
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The diagram for traditional programming had Rules and Data In, but what came out?
A. Binary
B. Machine Learning
C. Bugs
D. Answers答案：D
第二题
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The diagram for Machine Learning had Answers and Data In, but what came out?
A. Rules
B. Models
C. Bugs
D. Binary答案：A
第三题
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When I tell a computer what the data represents (i.e. this data is for walking, this data is for running), what is that process called?
A. Programming the Data
B. Labelling the Data
C. Categorizing the Data
D. Learning the Data
答案：B
第四题
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What is a Dense?
A. A layer of connected neurons
B. A single neuron
C. Mass over Volume
D. A layer of disconnected neurons
答案：A
第五题
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What does a Loss function do?
A. Measures how good the current ‘guess’ is
B. Decides to stop training a neural network
C. Generates a guess
D. Figures out if you win or lose
答案：A
第六题
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What does the optimizer do?
A. Decides to stop training a neural network
B.Figures out how to efficiently compile your code
C. Measures how good the current guess is
D. Generates a new and improved guess
答案：D
第七题
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What is Convergence?
A. The process of getting very close to the correct answer
B. A programming API for AI
C. The bad guys in the next ‘Star Wars’ movie
D. A dramatic increase in loss
答案：A
第八题
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What does model.fit do?
A. It trains the neural network to fit one set of values to another
B. It makes a model fit available memory
C. It optimizes an existing model
D. It determines if your activity is good for your body
答案：A
