(X_train, y_train), (X_test, y_test) = cifar10.load_data()中各个数据是什么数据类型
时间: 2023-12-24 21:56:59 浏览: 23
`(X_train, y_train)`和`(X_test, y_test)`都是元组类型数据,其中`X_train`和`X_test`是形状为`(n_samples, width, height, n_channels)`的numpy数组,表示图像数据,其中`n_samples`表示样本数量,`width`表示图像宽度,`height`表示图像高度,`n_channels`表示图像通道数(对于彩色图像,通道数为3,即红色、绿色、蓝色三个通道)。`y_train`和`y_test`是形状为`(n_samples,)`的numpy数组,表示图像对应的标签。
相关问题
(X_train, y_train), (X_test, y_test) = cifar10.load_data()
`(X_train, y_train), (X_test, y_test) = cifar10.load_data()` 这行代码是从Keras自带的CIFAR-10数据集中加载训练集和测试集。CIFAR-10数据集是一个常用的图像分类数据集,包含10个类别,每个类别有5000张尺寸为32\*32的彩色图像。数据集中的图像已经被预处理为像素值在0-1之间的浮点数。其中,`(X_train, y_train)`表示训练集数据和对应的标签,`(X_test, y_test)`表示测试集数据和对应的标签。
(x_train, y_train), (x_test, y_test) = keras.datasets.cifar10.load_data()
As an AI language model, I do not have the ability to access external files or libraries. However, I can explain what the above code does.
The code is using the Keras library to load the CIFAR-10 dataset. The CIFAR-10 dataset is a collection of 60,000 32x32 color images in 10 classes, with 6,000 images per class. The dataset is divided into 50,000 training images and 10,000 test images.
The `load_data()` function is used to load the data from the dataset. It returns two tuples: `(x_train, y_train)` and `(x_test, y_test)`. The `x_train` and `x_test` variables contain the images as numpy arrays, while `y_train` and `y_test` contain the corresponding labels for each image. The training data is used to train the model, while the testing data is used to evaluate the performance of the model.
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