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mlp's Introduction

多层感知机

定义网络

  • 继承torch.nn.Module搭建感知机 输入size为10,隐藏层size为20,输出size为10。 输入层和隐藏层之间全连接,经过激活函数得到隐藏层的输出,隐藏层输出和输出层全连接。 同时定义了前向传递函数。

  • 输入为x,随机生成;感知机输出为y;实际值为target,随机生成。

损失函数

调用torch.nn.MSELoss协方差损失函数

反向传播

调用backward,获得反向传播的误差

更新权重

调用torch.optim.SGD随机梯度下降,权重 = 权重 - 学习率 * 梯度

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