From 91a3973cfd33c132a725893b5a68afbe052ab3e9 Mon Sep 17 00:00:00 2001 From: "Kim, WoogLae" Date: 2017年11月22日 21:37:28 +0900 Subject: [PATCH] =?UTF-8?q?tensorboard=EC=97=90=20histogram=20=EC=B6=94?= =?UTF-8?q?=EA=B0=80.=20=EC=B5=9C=EC=86=8C=201=EA=B0=9C=20=EC=9D=B4?= =?UTF-8?q?=EC=83=81=EC=9D=98=20histogram=EC=9D=B4=20=EC=B6=94=EA=B0=80?= =?UTF-8?q?=EB=90=98=EC=96=B4=EC=95=BC=20scalar=EA=B0=80=20=ED=91=9C?= =?UTF-8?q?=EC=8B=9C=EB=90=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 05 - TensorBoard, Saver/02 - TensorBoard.py | 2 ++ 1 file changed, 2 insertions(+) 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))

AltStyle によって変換されたページ (->オリジナル) /