数据集获取python代码

获取数据集的方式因数据集而异，以下是一些获取数据集的示例代码：

1. 获取MNIST数据集

from tensorflow.keras.datasets import mnist

# load the MNIST dataset
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()

2. 获取CIFAR-10数据集

import tensorflow as tf
from tensorflow.keras.datasets import cifar10

# load the CIFAR-10 dataset
(train_images, train_labels), (test_images, test_labels) = cifar10.load_data()

3. 获取IMDB电影评论数据集

from tensorflow.keras.datasets import imdb

# load the IMDB dataset
(train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)

4. 获取Fashion-MNIST数据集

import tensorflow as tf
from tensorflow.keras.datasets import fashion_mnist

# load the Fashion-MNIST dataset
(train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()

这些代码示例使用了TensorFlow和Keras库中的数据集加载函数，你可以根据需要修改代码以获取你所需的数据集。