update readme

README.md

@@ -52,7 +52,7 @@ However, the generation method for each model are different! See below for more
 ### TimeGAN
 TimeGAN has 2 Modes, which is used to decide whether to train or generate :
 1. is_train (default = True) : train model with loaded train data (window_size=30, stride=1)
-2. is_generate (default = True) : generate multiple(num_generation) sequences of window_size(30)
+2. is_generate (default = True) : generate multiple(num_generation) sequences of window (window_size=30)
 
 ```
 # Mode 1 : Train mode
@@ -67,8 +67,8 @@ TimeGAN has 2 Modes, which is used to decide whether to train or generate :
 ### Variational Recurrent AutoEncoder (VRAE)
 VRAE has 3 Modes, which is used to decide whether to train or generate(train) or generate(test) :
 1. is_train (default = True) : train model with loaded train data (window_size=30, stride=1)
-2. is_generate_train (default = True) : generate train dataset loaded sequentially(window_size=stride)
-3. is_generate_test (default = True) : generate test dataset loaded sequentially(window_size=stride)
+2. is_generate_train (default = True) : generate train dataset loaded sequentially (window_size=stride)
+3. is_generate_test (default = True) : generate test dataset loaded sequentially (window_size=stride)
 
 ```
 # Mode 1 : Train mode