执行下面代码段,对其输出结果描述正确的是_______。import tensorflow as tfmnist = tf.keras.datasets.mnist(train_x, train_y), (test_x, test_y) = mnist.load_data()print("training set:", train_x.shape)print("testing set:", len(test_x))
A: training set:(60000,) testing set:10000
B: training set: (60000, 28, 28) testing set: 10000
C: training set:(10000, 28, 28) testing set: 60000
D: training set:(10000,) testing set: 60000
A: training set:(60000,) testing set:10000
B: training set: (60000, 28, 28) testing set: 10000
C: training set:(10000, 28, 28) testing set: 60000
D: training set:(10000,) testing set: 60000
举一反三
- 机器学习(深度学习)系统中通常将数据集划分为训练集和测试集,其中被用来学习得到系统的参数取值的是 A: 训练集(training set) B: 测试集(testing set) C: 训练集(training set)和测试集(testing set) D: 其它选项都不对
- declare @x int,@y int,@t int set @x=1 set @y=2 begin set @t=@x set @x=@y set @y=@t end print @x
- 訓練一個模型的時候,我們會把擁有的資料庫分成哪三個部分?() A: 正交集 (orthogonal set) B: 訓練集(training set) C: 驗證集(validation set) D: 平行集(parallel set) E: 測試集(testing set)
- 已知X={1,2,3},那么连续执行y=X和y.clear()这两条语句之后X和y的值分别是() A: {1,2,3}和{1,2,3} B: {1,2,3}和set() C: set()和{1,2,3} D: set()和set()
- Many a school in the United States()to train men in theology. A: was set up B: were set up C: has set up D: have set up