Polish optimizer name in 04.word2vec (#841)

* change opt name in word2vec

* update index.cn.html

04.word2vec/README.cn.md

@@ -351,8 +351,8 @@ def train(if_use_cuda, params_dirname, is_sparse=True):
     avg_cost = train_program(predict_word)
     test_program = main_program.clone(for_test=True)
 
-    sgd_optimizer = optimizer_func()
-    sgd_optimizer.minimize(avg_cost)
+    optimizer = optimizer_func()
+    optimizer.minimize(avg_cost)
 
     exe = fluid.Executor(place)
 

04.word2vec/README.md

@@ -316,8 +316,8 @@ def train(if_use_cuda, params_dirname, is_sparse=True):
     avg_cost = train_program(predict_word)
     test_program = main_program.clone(for_test=True)
 
-    sgd_optimizer = optimizer_func()
-    sgd_optimizer.minimize(avg_cost)
+    optimizer = optimizer_func()
+    optimizer.minimize(avg_cost)
 
     exe = fluid.Executor(place)
 

04.word2vec/index.cn.html

@@ -393,8 +393,8 @@ def train(if_use_cuda, params_dirname, is_sparse=True):
     avg_cost = train_program(predict_word)
     test_program = main_program.clone(for_test=True)
 
-    sgd_optimizer = optimizer_func()
-    sgd_optimizer.minimize(avg_cost)
+    optimizer = optimizer_func()
+    optimizer.minimize(avg_cost)
 
     exe = fluid.Executor(place)
 

04.word2vec/index.html

@@ -358,8 +358,8 @@ def train(if_use_cuda, params_dirname, is_sparse=True):
     avg_cost = train_program(predict_word)
     test_program = main_program.clone(for_test=True)
 
-    sgd_optimizer = optimizer_func()
-    sgd_optimizer.minimize(avg_cost)
+    optimizer = optimizer_func()
+    optimizer.minimize(avg_cost)
 
     exe = fluid.Executor(place)
 

04.word2vec/train.py

@@ -122,8 +122,8 @@ def train(if_use_cuda, params_dirname, is_sparse=True):
     avg_cost = train_program(predict_word)
     test_program = main_program.clone(for_test=True)
 
-    sgd_optimizer = optimizer_func()
-    sgd_optimizer.minimize(avg_cost)
+    optimizer = optimizer_func()
+    optimizer.minimize(avg_cost)
 
     exe = fluid.Executor(place)