Update README.md

Author: shethb

README.md

@@ -6,4 +6,4 @@ first, I created a data set which consists of approximately 5000 images of finge
 Deep Convolutional Neural Network on my dataset which classifies finger counts with a high accuracy when validated against the test set
 randomly extracted from the dataset. Finally, we created a live detection platform which can classify a finger count through the webcam.
 
-TO run the code in your computer download the code "finger_live_detection.m" and train using the images which are uploaded here. You can add more images to get higher accuracy and to avoid training you can also download the pre trained model "final_train.m" to test on your WEBCAM directly. Remember that in the images the background is constant to while testing you should have constant background(preferabbly white). 
+To run the code in your computer download the code "finger_live_detection.m" and train using the images which are uploaded here. You can add more images to get higher accuracy and to avoid training you can also download the pre trained model "final_train.m" to test on your WEBCAM directly. Remember that in the images the background is constant so while testing you should have constant background(preferabbly white). This code will not work without good CPU or GPU.