基于CNN的彩色图像分类

    #导入数据
    import tensorflow as tf
    from tensorflow.keras import datasets,layers,models
    import matplotlib.pyplot as plt
    
    (train_images,train_labels),\
    (test_images,test_labels) = datasets.cifar10.load_data()
    
    
    AI写代码python
    
    运行

    #归一化
    #将像素的值标准化至0至1的区间内
    train_images,test_images = train_images/255.0,test_images/255.0
    train_images.shape,test_images.shape,train_labels.shape,test_labels.shape
    
    
    AI写代码python
    
    运行

    ((50000, 32, 32, 3), (10000, 32, 32, 3), (50000, 1), (10000, 1))
    
    

    #可视