擅长:python、mysql、java
<p>下面的代码正是您想要的:</p>
<pre><code>import numpy as np
def normalize(x_train, x_test):
mu = np.mean(x_train, axis=0)
std = np.std(x_train, axis=0)
x_train_normalized = (x_train - mu) / std
x_test_normalized = (x_test - mu) / std
return x_train_normalized, x_test_normalized
</code></pre>
<p>然后可以将其与keras一起使用,如下所示:</p>
^{pr2}$
<p>威尔玛的回答是不正确的。在</p>