Understand the key computations underlying deep learning, use them to build and train deep neural networks, and apply it to computer vision.
學習目標
- 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
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【中文翻譯】
了解深層學習的關鍵計算, 利用它們構建和訓練深層神經網絡, 并將其應用于計算機視覺。
學習目標
(1) 查看深層神經網絡作為連續的塊互相放在一起
(2) 構建和訓練層度為L的深層神經網絡
(3) 分析矩陣和向量維數以檢查神經網絡的實現。
(4) 了解如何使用緩存將信息從正向傳播傳遞到反向傳播。
(5) 理解超參數在深度學習中的作用
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