擅长:python、mysql、java
<p>使用<code>eval()</code>来自<code>keras.backend</code>:</p>
<pre><code>import keras.backend as K
from keras.models import Sequential
from keras.layers import Dense
model = Sequential()
model.add(Dense(1, input_shape=(1,)))
model.add(Dense(1))
model.compile(loss='mse', optimizer='adam')
print(K.eval(model.optimizer.lr))
>>>0.001
</code></pre>