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
