[英]How can I get a layer with the same size of the original input using Conv2DTranspose in Keras?
[英]How can I get a layer with the same size of the original input using deconv2d in Keras?
u1 = deconv2d(c2)
c2
是前一層, u1
在應用這個 deconv2 函數后得到雙倍大小,我想應用這個函數但想獲得與輸入相同大小的輸出。
解決了問題,
這些是代碼定義的變化
def deconv2d(layer_input):
"""Layers used during upsampling"""
u = UpSampling2D(size=2)(layer_input)
u = Conv2D(256, kernel_size=3, strides=1, padding='same')(u)
u = Activation('relu')(u)
return u
size=1 instead of 2
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