# 第三周 目标检测（Object detection）

- [3.1 目标定位（Object localization）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/31-mu-biao-ding-wei-ff08-object-localization.md)
- [3.2 特征点检测（Landmark detection）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/32-te-zheng-dian-jian-ce-ff08-landmark-detection.md)
- [3.3 目标检测（Object detection）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/33-mu-biao-jian-ce-ff08-object-detection.md)
- [3.4 卷积的滑动窗口实现（Convolutional implementation of sliding windows）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/34-juan-ji-de-hua-dong-chuang-kou-shi-xian-ff08-convolutional-implementation-of-sliding-windows.md)
- [3.5 Bounding Box预测（Bounding box predictions）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/35-bounding-boxyu-ce-ff08-bounding-box-predictions.md)
- [3.6 交并比（Intersection over union）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/36-jiao-bing-bi-ff08-intersection-over-union.md)
- [3.7 非极大值抑制（Non-max suppression）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/37-fei-ji-da-zhi-yi-zhi-ff08-non-max-suppression.md)
- [3.8 Anchor Boxes](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/38-anchor-boxes.md)
- [3.9 YOLO 算法（Putting it together: YOLO algorithm）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/39-yolo-suan-fa-ff08-putting-it-together-yolo-algorithm.md)
- [3.10 候选区域（选修）（Region proposals (Optional)）](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/310-hou-xuan-qu-yu-ff08-xuan-xiu-ff09-ff08-region-proposals-optional.md)
- [Autonomous driving application - Car detection](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/autonomous-driving-application-car-detection-v3.md)
- [yolo\_utils.py](https://baozoulin.gitbook.io/neural-networks-and-deep-learning/di-si-men-ke-juan-ji-shen-jing-wang-luo-convolutional-neural-networks/convolutional-neural-networks/object-detection/yoloutils-py.md)


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