DeepLearning.ai深度学习课程笔记
Ctrlk
  • Introduction
  • 第一门课 神经网络和深度学习(Neural-Networks-and-Deep-Learning)
  • 第二门课 改善深层神经网络:超参数调试、 正 则 化 以 及 优 化 (Improving Deep Neural Networks:Hyperparameter tuning, Regulariza
    • 第二门课 改善深层神经网络:超参数调试、正则化以及优化(Improving Deep Neural Networks:Hyperparameter tuning, Regularization and
  • 第三门课 结构化机器学习项目(Structuring Machine Learning Projects)
    • 第三门课 结构化机器学习项目(Structuring Machine Learning Projects)
  • 第四门课 卷积神经网络(Convolutional Neural Networks)
    • 第四门课 卷积神经网络(Convolutional Neural Networks)
      • 第一周 卷积神经网络(Foundations of Convolutional Neural Networks)
      • 第二周 深度卷积网络:实例探究(Deep convolutional models: case studies)
      • 第三周 目标检测(Object detection)
      • 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?)
        • 4.2 One-Shot学习(One-shot learning)
        • 4.3 Siamese 网络(Siamese network)
        • 4.4 Triplet 损失(Triplet 损失)
        • 4.5 面部验证与二分类(Face verification and binary classification)
        • 4.6 什么是深度卷积网络?(What are deep ConvNets learning?)
        • 4.7 代价函数(Cost function)
        • 4.8 内容代价函数(Content cost function)
        • 4.9 风格代价函数(Style cost function)
        • 4.10 一维到三维推广(1D and 3D generalizations of models)
        • Art Generation with Neural Style Transfer
        • nst_utils.py
        • Face Recognition for the Happy House
        • fr_utils.py
        • inception_blocks.py
  • 第五门课 序列模型(Sequence Models)
    • 第五门课 序列模型(Sequence Models)
Powered by GitBook
On this page

Was this helpful?

  1. 第四门课 卷积神经网络(Convolutional Neural Networks)
  2. 第四门课 卷积神经网络(Convolutional Neural Networks)

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?)4.2 One-Shot学习(One-shot learning)4.3 Siamese 网络(Siamese network)4.4 Triplet 损失(Triplet 损失)4.5 面部验证与二分类(Face verification and binary classification)4.6 什么是深度卷积网络?(What are deep ConvNets learning?)4.7 代价函数(Cost function)4.8 内容代价函数(Content cost function)4.9 风格代价函数(Style cost function)4.10 一维到三维推广(1D and 3D generalizations of models)Art Generation with Neural Style Transfernst_utils.pyFace Recognition for the Happy Housefr_utils.pyinception_blocks.py
Previousyolo_utils.pyNext4.1 什么是人脸识别?(What is face recognition?)

Last updated 6 years ago

Was this helpful?