importtorchimporttorchvisionimportmatplotlib.pyplotaspltimportnumpyasnp# Download CIFAR-10 datasettrain_dataset=torchvision.datasets.CIFAR10(root='./data',train=True,download=True)# Get some sample imagessample_images=[train_dataset[i][0]foriinrange(9)]# Convert tensor images to numpy arrays for v...
The CIFAR-10 and CIFAR-100 are labeled subsets of the80 million tiny imagesdataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The CIFAR-10 dataset The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There ar...
all_images = torchvision.datasets.CIFAR10(train=True, root="../data",download=True) d2l.show_images([all_images[i][0] for i in range(32)], 4, 8, scale=0.8); 1. 2. 3. 4. 5. def load_cifar10(is_train, augs, batch_size): dataset = torchvision.datasets.CIFAR10(root="../da...
Discriminator tells fake images real ability: 0.129179/0.145748 Process finished with exit code 0 批量大小64: 1#参考自:https://blog.csdn.net/frank_haha/article/details/1198945412importtorch.nn as nn3importtorch.nn.init as init4importtorch.optim5fromtorch.utils.dataimportDataLoader6fromtorchvision.dat...
EPOCH_CNT=200LEARN_RATE=1e-2if__name__ =='__main__':#CIFAR-10 is a subset of the Tiny Images dataset with 60000 32x32 color images of 10 classes#均值:[0.49139968 0.48215841 0.44653091] 标准差:[0.24703223 0.24348513 0.26158784]transform_train=transforms.Compose([ ...
# 下载CIFAR10数据集 # #训练集 trainset=torchvision.datasets.CIFAR10(root='F:\人工智能\自然语言模型处理\data',train=True,download=True,transform=transform) # 测试集 testset=torchvision.datasets.CIFAR10(root='F:\人工智能\自然语言模型处理\data',train=False,download=True,transform=transform) ...
公共数据集> CIFAR-10 - Object Recognition in ImagesCIFAR-10 - Object Recognition in Images 3 动手学深度学习-cifar-10竞赛数据集 Youngsterism CC0 图像分类计算机视觉 0 18 2024-03-14 详情 相关项目 评论(0) 创建项目 文件列表 trainLabels.csv train.7z test.7z trainLabels.csv (0.56M) 下载反馈...
classes in the dataset, as well as 10 random images from each:You will perform the following tasks using Python with necessary libraries (Scikit-learn and PyTorch). You can find CIFAR-10 dataset from above link. You can download the dataset and load the training and testing data according ...
dataset介绍: CIFAR-10数据介绍 CIFAR-10^3是一个常用的彩色图片数据集,它有10个类别: 'airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck'。每张图片都是 3×32×32 ,也即3-通道彩色图片,分辨率为 32×32 。
【图形数据集】CIFAR-10 dataset数据集 目录 The CIFAR-10 dataset Download 文献引用:https://www.cs.toronto.edu/~kriz/cifar.html The CIFAR-10 dataset The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and ...