multicnet.py
def max_pool_2x2(self, x):
        """
        Our pooling is plain old max pooling over 2x2 blocks
        """
        return tf.nn.max_pool(x, ksize = [1, 2, 2, 1],
                              strides = [1, 2, 2, 1], padding = "SAME")

        Our pooling is plain old max pooling over 2x2 blocks
        
Our pooling is plain old max pooling over 2x2 blocks
Our pooling is plain old max pooling over 2x2 blocks
def max_pool_2x2(self, x):
        return tf.nn.max_pool(x, ksize = [1, 2, 2, 1],
                              strides = [1, 2, 2, 1], padding = "SAME")
def max_pool_2x2 ( self , x ) : return tf . nn . max_pool ( x , ksize = [ 1 , 2 , 2 , 1 ] , strides = [ 1 , 2 , 2 , 1 ] , padding = "SAME" )
Our pooling is plain old max pooling over 2x2 blocks
Our pooling is plain old max pooling over 2x2 blocks
"""
        Our pooling is plain old max pooling over 2x2 blocks
        """
self
x