本文整理汇总了Python中blocks.bricks.conv.Convolutional.name方法的典型用法代码示例。如果您正苦于以下问题：Python Convolutional.name方法的具体用法？Python Convolutional.name怎么用？Python Convolutional.name使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类blocks.bricks.conv.Convolutional的用法示例。
在下文中一共展示了Convolutional.name方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: build_conv_layers
# 需要导入模块: from blocks.bricks.conv import Convolutional [as 别名]
# 或者: from blocks.bricks.conv.Convolutional import name [as 别名]
def build_conv_layers(self, image=None) :
if image is None :
image = T.ftensor4('spectrogram')
else :
image = image
conv_list = []
for layer in range(self.layers) :
layer_param = self.params[layer]
conv_layer = Convolutional(layer_param[0], layer_param[1], layer_param[2])
pool_layer = MaxPooling(layer_param[3])
conv_layer.name = "convolution"+str(layer)
pool_layer.name = "maxpooling"+str(layer)
conv_list.append(conv_layer)
conv_list.append(pool_layer)
conv_list.append(Rectifier())
conv_seq = ConvolutionalSequence(
conv_list,
self.params[0][2],
image_size=self.image_size,
weights_init=IsotropicGaussian(std=0.5, mean=0),
biases_init=Constant(0))
conv_seq._push_allocation_config()
conv_seq.initialize()
out = conv_seq.apply(image)
return out, conv_seq.get_dim('output')