神经网络学习--PyTorch学习03 搭建模型

torch.nn

(1)用于搭建网络结构的序列容器：torch.nn.Sequential

models = torch.nn.Sequential(
    torch.nn.Linear(input_data, hidden_layer),
    torch.nn.ReLU(),
    torch.nn.Linear(hidden_layer, output_data)
)
from collections import OrderedDict  # 使用有序字典 使模块有自定义的名次
models2 = torch.nn.Sequential(OrderedDict([
    ("Line1",torch.nn.Linear(input_data, hidden_layer)),
    ("ReLu1",torch.nn.ReLU()),
    ("Line2",torch.nn.Linear(hidden_layer, output_data))])
)

(2)线性层：torch.nn.Linear

(3)激活函数：torch.nn.ReLU

(4)损失函数：torch.nn.MSELoss(均方误差函数)，troch.nn.L1Loss(平均绝对误差函数)，torch.nn.CrossEntropyLoss(交叉熵)

原文地址：https://www.cnblogs.com/zuhaoran/p/11458440.html