Update README.md

README.md

@@ -8,14 +8,14 @@ and handshaking motion while capturing the Images.
 
 So we get annoyed to filter the Clear rand Blurred Images so as to sort the Images to keep or to delete.
 
-Blur is typically the thing which suppress the high frequency of our Images, therefore can be detect by using low-pass filter
-eg. Laplacaian Filter. 
+`Blur is typically the thing which suppress the high frequency of our Images, therefore can be detect by using low-pass filter
+eg. Laplacaian Filter. `
 
 As the Now the era of Deep Conv Nets has supressed the Standard Computer Vision Techniques, 
 So in This we are focussing on the root of it which is Neural Nets.
-
+`
 Neural Nets very Quickly learn the complex features , therefore can be used much easily then std. CV technique.
-Tuning it to very efficiently can provide the results much better than CV TEchnique.
+Tuning it to very efficiently can provide the results much better than CV TEchnique.`
 
 
 ## Here the Dependencies Required for Running the Code:
@@ -41,13 +41,13 @@ Containg
 
 **We have used the Backprop Algorithm for Training using the SGD Optimizer with momentum .
 Rescaled the Images to 100 x 100 Pixels in Grayscale Coding and doing median filtering to filter the noise in Images.
-Need the Images that are clear in separate folder and one with blurred in other folder.Because it is a supervised Learning.
+Need the Images that are clear in separate folder and one with blurred in other folder.Because it is a supervised Learning**
 
 
 Run as :
 > 1. python train.py  --good_path  '/home/......'  --bad_path  '/home/.......'
 
-*and result get stored default in 'tmp/blur_clear/' Folder.
+`and result get stored default in 'tmp/blur_clear/' Folder.`
 
 
 > 2. python predict.py