课程一(Neural Networks and Deep Learning)，第四周（Deep Neural Networks）—

　　Understand the key computations underlying deep learning, use them to build and train deep neural networks, and apply it to computer vision.

学习目标

See deep neural networks as successive blocks put one after each other
Build and train a deep L-layer Neural Network
Analyze matrix and vector dimensions to check neural network implementations.
Understand how to use a cache to pass information from forward propagation to back propagation.
Understand the role of hyperparameters in deep learning

【中文翻译】

　　了解深层学习的关键计算, 利用它们构建和训练深层神经网络, 并将其应用于计算机视觉。

学习目标

　　(1) 查看深层神经网络作为连续的块互相放在一起

　　(2) 构建和训练层度为L的深层神经网络

　　(3) 分析矩阵和向量维数以检查神经网络的实现。

　　(4) 了解如何使用缓存将信息从正向传播传递到反向传播。

　　(5) 理解超参数在深度学习中的作用

转载于:https://www.cnblogs.com/hezhiyao/p/7890796.html

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课程一(Neural Networks and Deep Learning)，第四周（Deep Neural Networks）—— 0.学习目标...

Understand the key computations underlying deep learning, use them to build and train deep neural networks, and apply it to computer vision.

学习目标

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