matlab使用softmax归一化

在Matlab中使用softmax归一化可以通过以下步骤实现。首先，导入鸢尾花数据集并将其分为输入特征x和目标变量y的向量表示。然后，使用mysoftmax函数来计算softmax参数theta和算法准确率accuracy。具体代码如下所示：

load fisheriris; % 导入鸢尾花数据集
x = meas; % 输入特征
y(1:50,1) = 1; % 目标变量
y(51:100,1) = 2;
y(101:150,1) = 3;

k = 3; % 类别数
alpha = 0.01; % 学习率

\[theta, accuracy\] = mysoftmax(x, y, k, alpha); % 调用mysoftmax函数计算softmax参数和准确率

这样，你就可以在Matlab中使用softmax归一化了。\[1\]
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