(x, ksize, strides)
return tf.nn.max_pool(
      x,
      ksize=[1, ksize[0], ksize[1], 1],
      strides=[1, strides[0], strides[1], 1],
      padding='VALID',
      name='max_pool')
Max Pooling.
Max Pooling.
Max Pooling .
def max_pool(x, ksize, strides):
  """Max Pooling."""
  return tf.nn.max_pool(
      x,
      ksize=[1, ksize[0], ksize[1], 1],
      strides=[1, strides[0], strides[1], 1],
      padding='VALID',
      name='max_pool')
def max_pool ( x , ksize , strides ) : return tf . nn . max_pool ( x , ksize = [ 1 , ksize [ 0 ] , ksize [ 1 ] , 1 ] , strides = [ 1 , strides [ 0 ] , strides [ 1 ] , 1 ] , padding = 'VALID' , name = 'max_pool' )