update README

README.md

@@ -50,11 +50,11 @@ In our paper, to sample different images, we train our model on four datasets, r
 ## Training
 - Train LCCGAN on Oxford-102 Flowers dataset.
 ```
-python train.py --dataset flowers --dataroot your_images_folder --batchSize 64 --imageSize 64 --cuda
+python trainer.py --dataset flowers --dataroot your_images_folder --batchSize 64 --imageSize 64 --cuda
 ```
 - If you want to train the model on Large-scale CelebFaces Attributes (CelebA), Large-scale Scene Understanding (LSUN) or your own dataset. Just replace the hyperparameter like these:
 ```
-python train.py --dataset name_o_dataset --dataroot path_of_dataset
+python trainer.py --dataset name_o_dataset --dataroot path_of_dataset
 ```
 
 ## Citation