dl.ai special notebook
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  • 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, Regularization and
  • 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)
  • 第五门课 序列模型(Sequence Models)
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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)
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