#使用keras自带的模块导入数据,并且切分训练集、验证集、测试集,对训练数据进行标准化处理fashion_mnist=keras.datasets.fashion_mnist(x_train_all,y_train_all),(x_test,y_test)=fashion_mnist.load_data()print(x_train_all.shape)print(y_train_all.shape)print(x_test.shape)print(y_test.shape)#切分训...
importtensorflow as tfimportpandas as pdimportnumpy as npimportmatplotlib.pyplot as plt#这一次我们使用softmax模型来进行对衣服,裤子,鞋子,包包图像的分类(train_image,train_label),(test_image,test_label)=tf.keras.datasets.fashion_mnist.load_data() 加载训练以及测试的图片和label标签完毕,然后查看训练集...
代码Attention_cclassification.py import torchvisionimport torchvision.transforms as tranformsimport pylabimport torchfrom matplotlib import pyplot as pltimport numpy as npimport osos.environ['KMP_DUPLICATE_LIB_OK'] = 'True' # 可能是由于是MacOS系统的原因data_dir = './fashion_mnist'tranform = tranfor...
Tensorflow实现对fashion mnist(衣服,裤子等图片)数据集的softmax分类,程序员大本营,技术文章内容聚合第一站。