diff --git a/README.md b/README.md
index a12a9ce..a036360 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,7 @@ This issue was discussed here: [Support Channel groups in convolutional layers #
 ### Main Dependencies
  ```
  Python 3 or above
- tensorflow 1.3.0
+ tensorflow 1.3.0 or above (~1.12)
  numpy 1.13.1
  tqdm 4.15.0
  easydict 1.7
diff --git a/model.py b/model.py
index 1150830..c100cda 100644
--- a/model.py
+++ b/model.py
@@ -88,7 +88,10 @@ def __init_output(self):
                 self.optimizer = tf.train.AdamOptimizer(learning_rate=self.args.learning_rate)
                 self.train_op = self.optimizer.minimize(self.loss)
                 # This is for debugging NaNs. Check TensorFlow documentation.
-                self.check_op = tf.add_check_numerics_ops()
+                try:
+                    self.check_op = tf.add_check_numerics_ops()
+                except Exception as e:
+                    print('tf.add_check_numerics_ops() is not compatible with TensorFlow')
 
             # Output and Metrics
             self.y_out_softmax = tf.nn.softmax(self.logits)
diff --git a/train.py b/train.py
index fbaf5bf..0285213 100644
--- a/train.py
+++ b/train.py
@@ -67,7 +67,7 @@ def __load_imagenet_weights(self):
                         run_list.append(tf.assign(variable, value))
             self.sess.run(run_list)
             print("Weights loaded\n\n")
-        except KeyboardInterrupt:
+        except Exception as e:
             print("No pretrained ImageNet weights exist. Skipping...\n\n")
 
     ############################################################################################################