4. If the feature vector is three-dimensional, the perceptron has four parameters. Suppose all parameters are...

 

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4. If the feature vector is three-dimensional, the perceptron has four parameters. Suppose all parameters are in the range [-1,1] and we search this range by dividing it by 0.0001 intervals. (1) Write the number of dots to be explored. If it takes 0.01 milliseconds to evaluate a dot, how long will it take to learn? (2) Feature vectors in the Wine database are 13-dimensional. If the above assumptions apply, write the number of dots and the training time when training the Wine database. 4. If the feature vector is three-dimensional, the perceptron has four parameters. Suppose all parameters are in the range [-1,1] and we search this range by dividing it by 0.0001 intervals. (1) Write the number of dots to be explored. If it takes 0.01 milliseconds to evaluate a dot, how long will it take to learn? (2) Feature vectors in the Wine database are 13-dimensional. If the above assumptions apply, write the number of dots and the training time when training the Wine database.