fashionmnist数据集下载

Fashion-MNIST数据集可以通过多种方式进行下载。基于Python语言的下载方法可以使用utils/mnist_reader库来下载，具体代码如下：

import mnist_reader
X_train, y_train = mnist_reader.load_mnist('data/fashion', kind='train')
X_test, y_test = mnist_reader.load_mnist('data/fashion', kind='t10k')

基于Tensorflow的下载方法可以使用tensorflow.examples.tutorials.mnist库来下载，具体代码如下：

from tensorflow.examples.tutorials.mnist import input_data
data = input_data.read_data_sets('data/fashion')
data.train.next_batch(BATCH_SIZE)

另外，你也可以手动下载FashionMNIST数据集。具体代码如下：

import torchvision.datasets as datasets
import torchvision.transforms as transforms

transform = transforms.ToTensor()
fashion_train = datasets.FashionMNIST(root=r'G:\D2L\fashion_mnist', train=True, download=True, transform=transform)
fashion_test = datasets.FashionMNIST(root=r'G:\D2L\fashion_mnist', train=False, download=True, transform=transform)

以上是三种常用的下载Fashion-MNIST数据集的方法。你可以根据自己的需求选择其中一种方法进行下载。
#### 引用[.reference_title]
- *1* *2* [Dataset之Fashion-MNIST：Fashion-MNIST数据集简介与下载](https://blog.csdn.net/qq_46092061/article/details/119617811)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
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