deeplearning.ai 목차

• 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