The call to this function has changed (aymericdamien#142)

tf.reduce_sum(tf.nn.softmax_cross_entropy_with_logits(logits=logits, labels=y_))

Author: Luanrly

examples/4_Utils/tensorboard_advanced.py

@@ -71,7 +71,7 @@ def multilayer_perceptron(x, weights, biases):
 
 with tf.name_scope('Loss'):
     # Softmax Cross entropy (cost function)
-    loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, y))
+    loss = tf.reduce_sum(tf.nn.softmax_cross_entropy_with_logits(logits=pred, labels=y))
 
 with tf.name_scope('SGD'):
     # Gradient Descent