Update alexnet.py

You may want tensorboard_verbose=2 initially to see whats going on with your model, but you defintiely don't want to leave it there for the whole training, it significantly impacts training.

alexnet.py

@@ -37,7 +37,7 @@ def alexnet(width, height, lr):
                          learning_rate=lr, name='targets')
 
     model = tflearn.DNN(network, checkpoint_path='model_alexnet',
-                        max_checkpoints=1, tensorboard_verbose=2, tensorboard_dir='log')
+                        max_checkpoints=1, tensorboard_verbose=0, tensorboard_dir='log')
 
     return model