# 第四周 特殊应用：人脸识别和神经风格转换（Special applications: Face recognition \&Neural style transfer）

- [4.1 什么是人脸识别？（What is face recognition?）](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/special-applications/41-shi-yao-shi-ren-lian-shi-bie-ff1f-ff08-what-is-face-recognition.md)
- [4.2 One-Shot学习（One-shot learning）](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/special-applications/42-one-shotxue-xi-ff08-one-shot-learning.md)
- [4.3 Siamese 网络（Siamese network）](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/special-applications/43-siamese-wang-luo-ff08-siamese-network.md)
- [4.4 Triplet 损失（Triplet 损失）](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/special-applications/44-triplet-sun-shi-ff08-triplet-sun-shi-ff09.md)
- [4.5 面部验证与二分类（Face verification and binary classification）](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/special-applications/45-mian-bu-yan-zheng-yu-er-fen-lei-ff08-face-verification-and-binary-classification.md)
- [4.6 什么是深度卷积网络？（What are deep ConvNets learning?）](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/special-applications/47-shi-yao-shi-shen-du-juan-ji-wang-luo-ff1f-ff08-what-are-deep-convnets-learning.md)
- [4.7 代价函数（Cost function）](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/special-applications/48-dai-jia-han-shu-ff08-cost-function.md)
- [4.8 内容代价函数（Content cost function）](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/special-applications/49-nei-rong-dai-jia-han-shu-ff08-content-cost-function.md)
- [4.9 风格代价函数（Style cost function）](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/special-applications/410-feng-ge-dai-jia-han-shu-ff08-style-cost-function.md)
- [4.10 一维到三维推广（1D and 3D generalizations of models）](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/special-applications/411-yi-wei-dao-san-wei-tui-guang-ff08-1d-and3d-generalizations-of-models.md)
- [Art Generation with Neural Style Transfer](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/special-applications/art-generation-with-neural-style-transfer-v2.md)
- [nst\_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/special-applications/nstutils-py.md)
- [Face Recognition for the Happy House](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/special-applications/face+recognition+for+the+happy+house+-+v3.md)
- [fr\_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/special-applications/frutils-py.md)
- [inception\_blocks.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/special-applications/inceptionblocks-py.md)


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