CS230 学习笔记

Introduction and Basis

Introduction

• why deep learning taking off:
  • data and the action of collecting data increasing
  • ML's performance becomes plateus when training dataset becoming bigger, but DL keep performing better and better
• some AI categories:
  • DL/ML
  • PGM (Possibility Graph Model)
  • Planning
  • KR (Knowledge Representation)
  • Search
  • Game Theory
• what is AI company:
  • Internet era (shopping mall+website \(\neq\) Internet company)
    • A/B testing
    • short shipping time
    • decision making by engineers
  • AI era (company+NN \(\neq\) AI company)
    • statastic data occupation
    • unified data warehouse
    • pervasive automation oppotunity
    • new job description
• the course details:
  • C1: Neural Networks and Deep Learning
  • C2: Improving Deep Neural Networks
  • C3: Strategy fro ML Projects
  • C4: CNN
  • C5: Sequence Models
• one week for CS230 student:
  • 1 module:
    • Watch videos on Coursera (1.5h)
    • Solve quiz (20min)
    • Complete programming assignments (1-3h)
  • one week=2 modules+1 in-class lecture (1h20min)

更新中。。