From f964efd99456da1fc70513552c1969dc9c83a238 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=99=88=E4=BA=9A=E4=BA=91?= <563880696@qq.com>
Date: Mon, 13 Jul 2020 14:30:01 +0800
Subject: [PATCH] Edit by browser

---
 MindSpore/src/step3/train_net.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/MindSpore/src/step3/train_net.py b/MindSpore/src/step3/train_net.py
index f317a34..d110086 100644
--- a/MindSpore/src/step3/train_net.py
+++ b/MindSpore/src/step3/train_net.py
@@ -157,10 +157,10 @@ def train_net(args, model, epoch_size, mnist_path, repeat_size, ckpoint_cb):
     print("============== Starting Training ==============")
     # load training dataset
     # 请在此添加代码完成本关任务
-    # **********Begin*********#
-    ##提示：完成网络的配置
+    #********** Begin *********#
+    ## 提示：完成网络的配置
 
-    # **********End**********#
+    #********** End **********#
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description='MindSpore LeNet Example')
@@ -183,10 +183,10 @@ if __name__ == "__main__":
     # define the optimizer
     net_opt = nn.Momentum(network.trainable_params(), lr, momentum)
     # 请在此添加代码完成本关任务
-    # **********Begin*********#
-    ##提示：配置模型保存
+    #********** Begin *********#
+    ## 提示：配置模型保存
 
-    # **********End**********#
+    #********** End **********#
     # group layers into an object with training and evaluation features
     model = Model(network, net_loss, net_opt, metrics={"Accuracy": Accuracy()})