Update README.md

Author: krutikabapat

CharClassification/README.md

@@ -1,26 +1,26 @@
 ## Character Classification (of Synthetic Dataset) using Keras (CNN)
 
-**Step-1:**
+**Step 1:**
 
 Download backgrounds and put the light and dark backgrounds separately. We'll be using them for creating synthetic dataset. We have uploaded sample backgrounds in light_backgrounds and dark_backgrounds for reference. 
 
-**Step-2:**
+**Step 2:**
 
 Download fonts from [here](https://fonts.google.com/). These fonts will be used for randomly selected font-type while creating synthetic dataset. 
 
-**Step-3:**
+**Step 3:**
 
 Create synthetic data using ImageMagick. We have given an intuition behind creating synthetic data, in our blog. This can be done with following command:
 
 `python3 generate-images.py` 
 
-**Step-4:** 
+**Step 4:** 
 
 Training the model on the given dataset. A modified LeNet structure has been used to train our model, using Keras. This can be done with following command:
 
 `python3 train_model.py`
 
-**Step-5:**
+**Step 5:**
 
 In order to predict the digit or character in an image, execute the following command. Give the test image path as the argument.