Update README.md

Author: jianghaw

README.md

@@ -85,10 +85,10 @@ These networks have been trained to detect 80 objects classes from the COCO data
 | Network  | Backbone Networks |  Size (MB) | Mean Average Precision (mAP) |Object Classes | Location |
 | ------------- | ------------- |------------ | ------------- |------------ |------------ |
 | [EfficientDet-D0](https://github.com/matlab-deep-learning/pretrained-efficientdet-d0) | efficientnet |15.9 | 33.7 |80 |[GitHub](https://github.com/matlab-deep-learning/pretrained-efficientdet-d0) | 
-| [YOLOX](https://www..mathworks.com/help/vision/ref/yoloxobjectdetector.html) | YoloX-s<br />YoloX-m<br />YoloX-l | 32 <br /> 90.2<br />192.9 | 39.8 <br />45.9<br />48.6|80 |[Doc](https://www..mathworks.com/help/vision/ref/yoloxobjectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/Pretrained-YOLOX-Network-For-Object-Detection)| 
+| [YOLOX](https://www.mathworks.com/help/vision/ref/yoloxobjectdetector.html) | YoloX-s<br />YoloX-m<br />YoloX-l | 32 <br /> 90.2<br />192.9 | 39.8 <br />45.9<br />48.6|80 |[Doc](https://www.mathworks.com/help/vision/ref/yoloxobjectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/Pretrained-YOLOX-Network-For-Object-Detection)| 
 | [YOLO v4](https://www.mathworks.com/help/vision/ref/yolov4objectdetector.html) | yolov4-coco <br /> yolov4-tiny-coco| 229 <br /> 21.5 | 44.2 <br />19.7|80 |[Doc](https://www.mathworks.com/help/vision/ref/yolov4objectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/pretrained-yolo-v4)| 
 | [YOLO v3](https://www.mathworks.com/help/vision/ref/yolov3objectdetector.html)| darknet53-coco <br /> tiny-yolov3-coco | 220.4 <br /> 31.5 | 34.4 <br /> 9.3 |80 |[Doc](https://www.mathworks.com/help/vision/ref/yolov3objectdetector.html) |
-| [YOLO v2](https://www..mathworks.com/help/vision/ref/yolov2objectdetector.html)   | darknet19-COCO <br />tiny-yolo_v2-coco|181 <br /> 40 | 28.7 <br /> 10.5 |80 |[Doc](https://www.mathworks.com/help/vision/ref/yolov2objectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2)|
+| [YOLO v2](https://www.mathworks.com/help/vision/ref/yolov2objectdetector.html)   | darknet19-COCO <br />tiny-yolo_v2-coco|181 <br /> 40 | 28.7 <br /> 10.5 |80 |[Doc](https://www.mathworks.com/help/vision/ref/yolov2objectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2)|
 
 **Tips for selecting a model**