up1_2 = Conv2DTranspose(nb_filter[0], (2, 2), strides=(2, 2), name='up12', padding='same')(conv2_1)
conv1_2 = concatenate([up1_2, conv1_1], name='merge12', axis=bn_axis)
conv1_2 = standard_unit(conv1_2, stage='12', nb_filter=nb_filter[0])
all conv2DTranspose without activation...and activation: Activation function to use
(see activations).
If you don't specify anything, no activation is applied
(ie. "linear" activation: a(x) = x).
why do you not use activation in conv2DTranspose???
up1_2 = Conv2DTranspose(nb_filter[0], (2, 2), strides=(2, 2), name='up12', padding='same')(conv2_1) conv1_2 = concatenate([up1_2, conv1_1], name='merge12', axis=bn_axis) conv1_2 = standard_unit(conv1_2, stage='12', nb_filter=nb_filter[0]) all conv2DTranspose without activation...and activation: Activation function to use (see activations). If you don't specify anything, no activation is applied (ie. "linear" activation:
a(x) = x). why do you not use activation in conv2DTranspose???