(x_train, y_train), (x_test, y_test) = cifar10.load_data() 解释这段代码
时间: 2023-12-24 21:06:54 浏览: 22
这段代码是在使用 Keras 深度学习框架中载入 CIFAR-10 数据集。CIFAR-10 是一个经典的图像分类数据集,共包含 10 个类别,每个类别有 6000 张尺寸为 32x32 的彩色图像。其中,50000 张用于训练,10000 张用于测试。代码中,使用 `cifar10.load_data()` 函数载入数据集,返回的是两个元组 `(x_train, y_train)` 和 `(x_test, y_test)`。其中,`x_train` 和 `x_test` 分别是训练集和测试集的图像数据,是一个四维数组,其形状为 `(n_samples, height, width, depth)`,其中 `n_samples` 是样本数,`height`、`width` 和 `depth` 分别是图像的高度、宽度和颜色通道数。`y_train` 和 `y_test` 则是训练集和测试集的标签,是一个一维数组,其长度为 `n_samples`,每个元素表示对应图像的类别标签。
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(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.