train_dataset = FashionMNISTDataset(csv_file=DATA_PATH / "fashion-mnist_train.csv") test_dataset = FashionMNISTDataset(csv_file=DATA_PATH / "fashion-mnist_test.csv") train_loader = DataLoader(dataset=train_dataset, batch_size=BATCH_SIZE, shuffle=True) test_loader = DataLoader(dataset=test_da...
(x,y), (x_test,y_test)=datasets.fashion_mnist.load_data() print(x.shape,y.shape) BATCH_SIZE=128 # [[x1, y1], [x2, y2]...] db=tf.data.Dataset.from_tensor_slices((x,y)) db_test=tf.data.Dataset.from_tensor_slices((x_test,y_test)) db=db.map(preprocess).shuffle(10000)....
importtorchimporttorchvisionfromtorch.utilsimportdatafromtorchvisionimporttransformsdefget_dataloader_workers():"""使用4个进程来读取数据"""return4defload_data_fashion_mnist(batch_size,resize=None):"""下载Fashion-MNIST数据集,然后将其加载到内存中"""trans=[transforms.ToTensor()]ifresize:trans.inser...
name='fashion_mnist', version=1.0.0, description='Fashion-MNIST is a dataset of Zalando's article images consisting of a training set of 60,000 examplesanda test set of 10,000 examples. Each exampleisa 28x28 grayscale image, associated with a labelfrom10 classes.',homepage='https://githu...
2.3.4 按照批次封装Fashion-MNIST数据集 ---Fashion-MNISt-CNN.py(第3部分) ### 1.3 按批次封装FashionMNIST数据集batch_size = 10 #设置批次大小train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=batch_size, shuffle=True)test_loader = torch.utils.data.DataLoader(val_dataset, batch...
1、Why we made Fashion-MNIST The originalMNIST datasetcontains a lot of handwritten digits. Members of the AI/ML/Data Science community love this dataset and use it as a benchmark to validate their algorithms. In fact, MNIST is often the first dataset researchers try. "If it doesn't work...
#mnist_train是torch.utils.data.Dataset的子类,所以可以使用torch.utils.data.DataLoader来读取数据 batch_size=256 ifsys.platform.startswith('win'): num_workers=0#0表示不用额外的进程来加速读取数据 else: num_workers=4 train_iter=torch.utils.data.DataLoader(mnist_train,batch_size=batch_size,shuffle=...
1、Why we made Fashion-MNIST The original MNIST dataset contains a lot of handwritten digits. Members of the AI/ML/Data Science community love this dataset and use it as a benchmark to validate their algorithms. In fact, MNIST is often the first dataset researchers try. "If it doesn't ...
(48,48)),#Fashion-Mnist数据集大小为24*24,VGG网络输入为224,所以进行resize t.Normalize(mean=[127.5], std=[127.5]), ]) #调用飞浆归一化处理 train_dataset = FashionMNIST(mode='train', transform=transform) # 加载训练集 test_dataset = FashionMNIST(mode='test', transform=transform) # 加载...
datasets.FashionMNIST(root='./data', train=False, download=True, transform=transform1) testloader = torch.utils.data.DataLoader(testset, batch_size=50, shuffle=False, num_workers=2) 上面创建了两个 DataLoader ,分别用来加载训练集的图片和测试集的图片。 代码运行后,会在当前目录的 data 目录下存放...