5.1 神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu)
?5.2 線性拉平
import torch
import torchvision
from torch import nn
from torch.nn import ReLU
from torch.nn import Sigmoid
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
dataset = torchvision.datasets.CIFAR10("./dataset",train=False,transform=torchvision.transforms.ToTensor(),download=True)
dataloader = DataLoader(dataset, batch_size=64)
for data in dataloader:
imgs, targets = data
print(imgs.shape)
output = torch.reshape(imgs,(1,1,1,-1))
print(output.shape)結(jié)果：
?5.3 線性層
import torch
import torchvision
from torch import nn
from torch.nn import Linear
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
dataset = torchvision.datasets.CIFAR10("./dataset",train=False,transform=torchvision.transforms.ToTensor(),download=True)
dataloader = DataLoader(dataset, batch_size=64,drop_last=True)
class Tudui(nn.Module):
def __init__(self):
super(Tudui, self).__init__()
self.linear1 = Linear(196608,10)
def forward(self, input):
output = self.linear1(input)
return output
tudui = Tudui()
writer = SummaryWriter("logs")
step = 0
for data in dataloader:
imgs, targets = data
print(imgs.shape)
writer.add_images("input", imgs, step)
output = torch.reshape(imgs,(1,1,1,-1)) # 方法一：拉平
#output = torch.flatten(imgs) # 方法二：拉平。展開為一維
print(output.shape)
output = tudui(output)
print(output.shape)
writer.add_images("output", output, step)
step = step + 1操作：
① 在 Anaconda 終端里面，激活py3.6.3環(huán)境，再輸入 tensorboard --logdir=C:\Users\wangy\Desktop\03CV\logs 命令，將網(wǎng)址賦值瀏覽器的網(wǎng)址欄，回車，即可查看tensorboard顯示日志情況。
?結(jié)果：
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