擅长:python、mysql、java
<p>我能看到这个工作的唯一方法是使用<code>Keras</code>模型作为<code>TensorFlow</code>工作流的接口。如果执行此操作,可以执行以下操作以保存模型及其权重:</p>
<pre><code># save model
with open(model_save_filename, "w") as model_save_file:
model_json = model.to_json()
model_save_file.write(model_json)
# save model weights
model.save_weights(model_weights_save_filename)
</code></pre>
<p>有关使用<code>Keras</code>作为<code>Tensorflow</code>工作流接口的详细信息,请参阅此处:<a href="https://blog.keras.io/keras-as-a-simplified-interface-to-tensorflow-tutorial.html#using-keras-models-with-tensorflow" rel="nofollow noreferrer">https://blog.keras.io/keras-as-a-simplified-interface-to-tensorflow-tutorial.html#using-keras-models-with-tensorflow</a></p>