Pytorch入门实战-----ResNet识别CIFAR-10数据集

跑了一个epoch，正确率为：

import torch
import torch.nn as nn
import torchvision.datasets as dsets
import torchvision.transforms as transforms
from torch.autograd import Variable

#Image Preprocessing
transform = transforms.Compose([
    transforms.Scale(40),
    transforms.RandomHorizontalFlip(),
    transforms.RandomCrop(32),
    transforms.ToTensor()
])

#CIFAR-10 Dataset
train_dataset = dsets.CIFAR10(
    root='./data',
    train=True,
    transform = transform,
    download=True
)
test_dataset = dsets.CIFAR10(
    root='./data',
    train=False,
    transform = transform,
    download=True
)
train_loader = torch.utils.data.DataLoader(dataset=train_dataset,
                                           batch_size=50,