diff --git a/source/_static/code/en/basic/eager/grad.py b/source/_static/code/en/basic/eager/grad.py
index 39a35455..1fa6f66a 100644
--- a/source/_static/code/en/basic/eager/grad.py
+++ b/source/_static/code/en/basic/eager/grad.py
@@ -11,6 +11,6 @@
 w = tf.Variable(initial_value=[[1.], [2.]])
 b = tf.Variable(initial_value=1.)
 with tf.GradientTape() as tape:
-    L = 0.5 * tf.reduce_sum(tf.square(tf.matmul(X, w) + b - y))
+    L = tf.reduce_sum(tf.square(tf.matmul(X, w) + b - y))
 w_grad, b_grad = tape.gradient(L, [w, b])        # 计算L(w, b)关于w, b的偏导数
-print([L.numpy(), w_grad.numpy(), b_grad.numpy()])
\ No newline at end of file
+print([L.numpy(), w_grad.numpy(), b_grad.numpy()])