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Fix broken link in tutorial_training.md #88

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Fix broken link in tutorial_training.md #88

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2 changes: 1 addition & 1 deletion object-detection/yolov2/tutorial/tutorial_training.md
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Expand Up @@ -10,7 +10,7 @@ This tutorial will cover the following four topics:
- `train.py` will be mainly used for this purpose.
3. Run image object detection **using the trained parameters**.
- `yolov2_detection.py` will be mainly used for this purpose.
- This is mostly the same as [Quick Start: Image Object Detection with YOLO-v2-NNabla](./quickstart.md), until the final step, where the trained network weights are used instead of the pretrained network weights.
- This is mostly the same as [Quick Start: Image Object Detection with YOLO-v2-NNabla](../quickstart.md), until the final step, where the trained network weights are used instead of the pretrained network weights.
4. **Evaluate the network's mAP** (Mean Average Precision).
- Mean Average Precision is the score used for evaluating the image object detection performance in [the original YOLO v2 paper][1].
- `valid.py` and `scripts/voc_eval.py` will be mainly used for this purpose.
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