下载cifar10数据集代码

你可以通过以下步骤下载CIFAR-10数据集代码：
1. 打开CIFAR-10官方网站 https://www.cs.toronto.edu/~kriz/cifar.html
2. 在网页中找到“Download the CIFAR-10 dataset”部分，并下载“CIFAR-10 python version”压缩包。
3. 解压压缩包，并将其放在你想要的目录下。
4. 在Python中使用以下代码读取数据集：

import pickle
import numpy as np

def unpickle(file):
    with open(file, 'rb') as fo:
        dict = pickle.load(fo, encoding='bytes')
    return dict

data_dir = 'your_data_dir'
train_data = np.empty((0, 3072))
train_labels = np.empty((0,))
for i in range(1, 6):
    subset = unpickle(data_dir + '/data_batch_{}'.format(i))
    train_data = np.vstack((train_data, subset[b'data']))
    train_labels = np.hstack((train_labels, subset[b'labels']))

subset = unpickle(data_dir + '/test_batch')
test_data = subset[b'data']
test_labels = np.array(subset[b'labels'])

label_names = unpickle(data_dir + '/batches.meta')[b'label_names']