"residual block keras" Code Answer's
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residual block keras
Busy Bat
on Apr 29, 2021
from keras import layers
def residual_block(y, nb_channels, _strides=(1, 1), _project_shortcut=False):
shortcut = y
# down-sampling is performed with a stride of 2
y = layers.Conv2D(nb_channels, kernel_size=(3, 3), strides=_strides, padding='same')(y)
y = layers.BatchNormalization()(y)
y = layers.LeakyReLU()(y)
y = layers.Conv2D(nb_channels, kernel_size=(3, 3), strides=(1, 1), padding='same')(y)
y = layers.BatchNormalization()(y)
# identity shortcuts used directly when the input and output are of the same dimensions
if _project_shortcut or _strides != (1, 1):
# when the dimensions increase projection shortcut is used to match dimensions (done by 1×1 convolutions)
# when the shortcuts go across feature maps of two sizes, they are performed with a stride of 2
shortcut = layers.Conv2D(nb_channels, kernel_size=(1, 1), strides=_strides, padding='same')(shortcut)
shortcut = layers.BatchNormalization()(shortcut)
y = layers.add([shortcut, y])
y = layers.LeakyReLU()(y)
return ySource: gist.github.com
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