diff --git a/keras/backend/tensorflow_backend.py b/keras/backend/tensorflow_backend.py
index bcb8be0affa..2d23706948d 100644
--- a/keras/backend/tensorflow_backend.py
+++ b/keras/backend/tensorflow_backend.py
@@ -1905,17 +1905,17 @@ def batch_normalization(x, mean, var, beta, gamma, axis=-1, epsilon=1e-3):
             # The mean / var / beta / gamma may be processed by broadcast
             # so it may have extra axes with 1, it is not needed and should be removed
             if ndim(mean) > 1:
-                mean = tf.reshape(mean, (-1))
+                mean = tf.reshape(mean, [-1])
             if ndim(var) > 1:
-                var = tf.reshape(var, (-1))
+                var = tf.reshape(var, [-1])
             if beta is None:
                 beta = zeros_like(mean)
             elif ndim(beta) > 1:
-                beta = tf.reshape(beta, (-1))
+                beta = tf.reshape(beta, [-1])
             if gamma is None:
                 gamma = ones_like(mean)
             elif ndim(gamma) > 1:
-                gamma = tf.reshape(gamma, (-1))
+                gamma = tf.reshape(gamma, [-1])
             y, _, _ = tf.nn.fused_batch_norm(
                 x,
                 gamma,