# deeplearning.ai 목차

2000, Jan 01

- coursera의 deeplearning.ai specialization을 듣고 강의 내용을 다시 정리해 보고 있습니다.
- 강의 내용이 상당히 좋습니다. 시간이 지나도 딥러닝의 기초는 바뀌지 않으니 강의를 들어보시길 추천드립니다.

**Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization**

- Mini-batch gradient descent
- Understanding mini-batch gradient descent
- Exponentially Weighted Averages
- Understanding Exponentially Weighted Averages
- Bias Correction of Exponentially Weighted Averages
- Gradient descent with momentum
- RMSProp
- Adam Optimization Algorithm
- Learning Rate Decay
- The problem of local optima
- Optimization Algorithm 퀴즈

**Convolutional Neural Network**

- Network In Network
- Inception Network Motivation
- Inception Network