The following is the correct difference between machine learning algorithms and traditional rule-based methods?

• A.The mapping relationship of the model in the machine learning institute must be implicit
• B.Traditional rule-based methods, in which the rules can be explicitly clarified manually
• C.The mapping relationship of the model in machine learning is automatically learned
• D.Traditional rule-based methods use explicit programming to solve problems

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Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)

• A.Reduce regularization parameters
• B.Feature Engineering
• C.Increase the amount of data
• D.Add features

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Code model.fit(mnist.train.inmage,mnist.train.labels.epochs=5)in of epochs Parameter representative?

• A.The entire training set will be divided into 6 Share
• B.The entire training set will be divided into 5 Share
• C.The entire test set will be tested 5 Times
• D.The entire training set will be trained 5 Times

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Which of the following options correctly describes the relationship between the Poisson distribution and the binomial distribution?

• A.Poisson distribution is not related to the binomial distribution
• B.Poisson distribution and binomial distribution when n is very large and p is very small
• C.Poisson distribution can replace binomial distribution
• D.The mathematical model of Poisson distribution and Binomial distribution are both Lagrangian probability

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Which of the following neural network structures will share weights? (Multiple Choice)

• A.recurrent neural network
• B.fully connected neural network
• C.Convolutional Neural Network
• D.all of the above

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