使用keras2.0 将Merge层改为函数式
不能再向以前一样使用
model.add(Merge([Model1,Model2]))
必须使用函数式
out=Concatenate()([model1.output,model2.output])
补充知识：keras新版接口修改
1.
#b=MaxPooling2D((3,3),strides=(1,1),border_mode='valid',dim_ordering='tf')(x)
b=MaxPooling2D((3,3),strides=(1,1),padding='valid',data_format="channels_last")(x)
2.
fromkeras.layers.mergeimportconcatenate #x=merge([a,b],mode='concat',concat_axis=-1) x=concatenate([a,b],axis=-1)
3.
fromkeras.engineimportmerge m=merge([init,x],mode='sum') EquivalentKeras2.0.2code: fromkeras.layersimportadd m=add([init,x])
4.
#x=Convolution2D(32//nb_filters_reduction_factor,3,3,subsample=(1,1),activation='relu', #init='he_normal',border_mode='valid',dim_ordering='tf')(x) x=Conv2D(32//nb_filters_reduction_factor,(3,3),activation="relu",strides=(1,1),padding="valid", data_format="channels_last", kernel_initializer="he_normal")(x)
1.
#b=MaxPooling2D((3,3),strides=(1,1),border_mode='valid',dim_ordering='tf')(x) b=MaxPooling2D((3,3),strides=(1,1),padding='valid',data_format="channels_last")(x)
2.
fromkeras.layers.mergeimportconcatenate #x=merge([a,b],mode='concat',concat_axis=-1) x=concatenate([a,b],axis=-1)
3.
fromkeras.engineimportmerge m=merge([init,x],mode='sum') EquivalentKeras2.0.2code: fromkeras.layersimportadd m=add([init,x])
4.
#x=Convolution2D(32//nb_filters_reduction_factor,3,3,subsample=(1,1),activation='relu', #init='he_normal',border_mode='valid',dim_ordering='tf')(x) x=Conv2D(32//nb_filters_reduction_factor,(3,3),activation="relu",strides=(1,1),padding="valid", data_format="channels_last", kernel_initializer="he_normal")(x)
以上这篇使用keras2.0将Merge层改为函数式就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持毛票票。