remove an error in the multiclassifier

@@ -2,3 +2,4 @@ X_test.npz
 X_train.npz
 filesforNNarch.zip
 __pycache__/
+.ipynb_checkpoints/

@@ -142,7 +142,7 @@ def train(save_dir):
     # ---- CE loss  ----
     # Compute the average of the loss across all the dimensions
     if FLAGS.n_classes>=2:
-        ce_loss = f.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(logits=pred, labels=Y)) 
+        ce_loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(logits=pred, labels=Y)) 
     else:
         ce_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=pred, labels=Y))