"resisual" => "residual"
@@ -225,7 +225,7 @@ class ResNet(object):
def _bottleneck_residual(self, x, in_filter, out_filter, stride,
activate_before_residual=False):
- """Bottleneck resisual unit with 3 sub layers."""
+ """Bottleneck residual unit with 3 sub layers."""
if activate_before_residual:
with tf.variable_scope('common_bn_relu'):
x = self._batch_norm('init_bn', x)