keras 新版接口修改
【摘要】
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")...
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.
from keras.layers.merge import concatenate
3.# x = merge([a, b], mode='concat', concat_axis=-1) x = concatenate([a, b], axis=-1)
-
from keras.engine import merge
-
m = merge([init, x], mode='sum')
Equivalent Keras 2.0.2 code:
-
from keras.layers import add
-
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.
from keras.layers.merge import concatenate
3.# x = merge([a, b], mode='concat', concat_axis=-1) x = concatenate([a, b], axis=-1)
-
from keras.engine import merge
-
m = merge([init, x], mode='sum')
Equivalent Keras 2.0.2 code:
-
from keras.layers import add
-
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)
文章来源: blog.csdn.net,作者:网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/78937483
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