From dde63b3d8e1c2ab291154d76e65c638d1140eafe Mon Sep 17 00:00:00 2001
From: zzaebok <jaebok9541@naver.com>
Date: 2018年11月12日 07:32:06 +0000
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---
 03 - TensorFlow Basic/02 - Variable.py &#124; 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/03 - TensorFlow Basic/02 - Variable.py b/03 - TensorFlow Basic/02 - Variable.py
index 4af8c31f..6565004d 100644
--- a/03 - TensorFlow Basic/02 - Variable.py	
+++ b/03 - TensorFlow Basic/02 - Variable.py	
@@ -13,7 +13,7 @@
 # tf.Variable: 그래프를 계산하면서 최적화 할 변수들입니다. 이 값이 바로 신경망을 좌우하는 값들입니다.
 # tf.random_normal: 각 변수들의 초기값을 정규분포 랜덤 값으로 초기화합니다.
 W = tf.Variable(tf.random_normal([3, 2]))
-b = tf.Variable(tf.random_normal([2, 1]))
+b = tf.Variable(tf.random_normal([1, 2]))
 
 # 입력값과 변수들을 계산할 수식을 작성합니다.
 # tf.matmul 처럼 mat* 로 되어 있는 함수로 행렬 계산을 수행합니다.
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