Update README.md

README.md

@@ -49,12 +49,12 @@ sample parameters. Next scripts are based on this one.
 It contains template files that are generated in python scripts.
 * **results.csv:** file (csv format) produced in *label_classify_image_folder.py*. It contains info of classified images
 (dist, collimation, wavelength, CNN prediction for this image, and the average prediction). It is used in 
-*regression_radius_multip.py*.
+[regression_radius_multip.py](python/regression_radius_multip.py) and [regression_radius_deep.py](python/regression_radius_deep.py).
 * **suggest.csv:** file (csv format). It contains: *dist*, *col*, *wavelength* suggested, and the *original radius*.
 It is created in *regression_radius_multip.py* and it is used in 
-[create_suggested_images.m](doc_files/create_suggested_images.m).
+[create_suggested_images.m](matlab/create_suggested_images.m).
 * **Original_misclassified.txt:** file (txt format) produced in *retrain.py* when option *--print_misclassified_images* is active. 
-It is used in *misclassified_images.py* to reclassify images. You can move the images from their previous ubication to the one 
+It is used in [misclassified_images.py](python/misclassified_images.py) to reclassify images. You can move the images from their previous ubication to the one 
 that the CNN decides.
 
 ## imgs