day38

import numpy as np

import matplotlib.pyplot as plt

from tensorflow.keras.datasets import cifar10

 

# 加载数据集（首次运行会自动下载）

(train_images, train_labels), (_, _) = cifar10.load_data()

 

# 查看第一张图片

image = train_images[0]  # 形状为(32, 32, 3)

label = train_labels[0][0]  # 标签编号

 

# 显示图片

plt.imshow(image)

plt.title(f"Label: {label}")

plt.axis('off')

plt.show()