diff --git a/Training.py b/Training.py
index 8b36c34..a06a341 100644
--- a/Training.py
+++ b/Training.py
@@ -53,7 +53,7 @@ def total_cost(J_content, J_style, alpha = 10, beta = 40):
 
 sess.run(model['input'].assign(style_image))
 J_style = compute_style_cost(model, CONFIG.STYLE_LAYERS)
-J = total_cost(J_content, J_style,alpha=CONFIG.ALPHA,beta=CONFIG.BETA)
+J = total_cost(J_content, J_style,alpha=CONFIG.ALPHA,beta=CONFIG.BETA)                    #comprises of both style and content losses 
 
 optimizer = tf.train.AdamOptimizer(CONFIG.LEARNINF_RATE)
 train_step = optimizer.minimize(J)