diff --git a/05 - TensorBoard, Saver/02 - TensorBoard.py b/05 - TensorBoard, Saver/02 - TensorBoard.py
index 4a9693be..c7daf17a 100644
--- a/05 - TensorBoard, Saver/02 - TensorBoard.py	
+++ b/05 - TensorBoard, Saver/02 - TensorBoard.py	
@@ -32,6 +32,8 @@
 W3 = tf.Variable(tf.random_uniform([20, 3], -1., 1.), name='W3')
 model = tf.matmul(L2, W3)
 
+ tf.summary.histogram("Model", model)
+
 with tf.name_scope('optimizer'):
 cost = tf.reduce_mean(
 tf.nn.softmax_cross_entropy_with_logits(labels=Y, logits=model))
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