我对keras很新。 我正在尝试使用Keras.io
在Keras中编写(使用Functional API)自定义图层class MyLayer(Layer):
def __init__(self, output_dim, **kwargs):
self.output_dim = output_dim
super(MyLayer, self).__init__(**kwargs)
def build(self, input_shape):
# Create a trainable weight variable for this layer.
self.kernel = self.add_weight(shape=(input_shape[1], self.output_dim),
initializer='uniform',
trainable=True)
super(MyLayer, self).build(input_shape) # Be sure to call this somewhere!
def call(self, x):
return K.dot(x, self.kernel)
def compute_output_shape(self, input_shape):
return (input_shape[0], self.output_dim)
呼叫:
sourcedistribution = Mylayer(dropout2_target)
错误回溯如下:
File "/root/PycharmProjects/chNET/modelBuild.py", line 77, in
model = create_network([100, 100, 3])
File "/root/PycharmProjects/chNET/modelBuild.py", line 53, in create_network
sourcedistribution = Mylayer(dropout2_source)
NameError: global name 'Mylayer' is not defined
请帮助理解此错误。
答案 0 :(得分:1)
我认为唯一的问题是您已定义MyLayer
,但您称之为Mylayer
。