Tensorflow在两个模型之间共享层

Question

让我们的模型成为几个完全连接的层： enter image description here 我想共享中间层，并使用具有相同权重的两个模型，例如： enter image description here 我可以用Tensorflow做到吗？

Answer 1

是的，您可以共享图层！ TensorFlow官方教程为here。

在您的情况下，可以使用可变范围来实现图层共享

#Create network starts, which are not shared
start_of_net1 = create_start_of_net1(my_inputs_for_net1)
start_of_net2 = create_start_of_net2(my_inputs_for_net2)

#Create shared middle layers
#Start by creating a middle layer for one of the networks in a variable scope
with tf.variable_scope("shared_middle", reuse=False) as scope:
    middle_of_net1 = create_middle(start_of_net1)
#Share the variables by using the same scope name and reuse=True
#when creating those layers for your other network
with tf.variable_scope("shared_middle", reuse=True) as scope:
    middle_of_net2 = create_middle(start_of_net2)

#Create end layers, which are not shared
end_of_net1 = create_end_of_net1(middle_of_net1)
end_of_net2 = create_end_of_net2(middle_of_net2)

一旦在变量作用域中创建了一个图层，您就可以随意重复使用该图层中的变量。在这里，我们只重复使用一次。