DeepLearning.ai深度学习课程笔记
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  • Introduction
  • 第一门课 神经网络和深度学习(Neural-Networks-and-Deep-Learning)chevron-right
  • 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 andchevron-right
  • 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)chevron-right
  • 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)chevron-right
      • 第一周 卷积神经网络(Foundations of Convolutional Neural Networks)chevron-right
      • 第二周 深度卷积网络:实例探究(Deep convolutional models: case studies)chevron-right
      • 第三周 目标检测(Object detection)chevron-right
      • 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)chevron-right
        • 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)chevron-right
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  1. 第四门课 卷积神经网络(Convolutional Neural Networks)chevron-right
  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?)chevron-right4.2 One-Shot学习(One-shot learning)chevron-right4.3 Siamese 网络(Siamese network)chevron-right4.4 Triplet 损失(Triplet 损失)chevron-right4.5 面部验证与二分类(Face verification and binary classification)chevron-right4.6 什么是深度卷积网络?(What are deep ConvNets learning?)chevron-right4.7 代价函数(Cost function)chevron-right4.8 内容代价函数(Content cost function)chevron-right4.9 风格代价函数(Style cost function)chevron-right4.10 一维到三维推广(1D and 3D generalizations of models)chevron-rightArt Generation with Neural Style Transferchevron-rightnst_utils.pychevron-rightFace Recognition for the Happy Housechevron-rightfr_utils.pychevron-rightinception_blocks.pychevron-right
Previousyolo_utils.pychevron-leftNext4.1 什么是人脸识别?(What is face recognition?)chevron-right

Last updated 6 years ago