2. 다층신경망의 학습과정을 ChatGPT(또는 Bard, Bing Chat 등)에 물어서 찾고, 이를 기반으로 다층신경망의 학습과정을 스스로 다시 정리하시오.(6점)
ChatGPT에 따르면 다층신경망은 데이터 준비, 데이터 전처리, 초기화, 아키텍처 정의, 순방향 전파, 손실함수 계산, 역전파, 파라미터 업데이트, 그리고 이
Management
Three factors that usually are considered
1) Fetal age and thus maturity
2) Labor
3) Bleeding and its severity
? Preterm + no persistent active bleeding
→ Close observation
? Near term + not bleeding
→ Scheduled cesarean delivery
※ Timing is important to maximize fetal growth but to minimize the possibility of antepartum hemorrhage.
※ Data are sparse rega
Introduction
We, Harmony Consulting Group, have started business in the field of Operations Management since 10 years ago. The ultimate mission of HCG is Delivering customer satisfaction. ”We care for our clients' business as our business”.
We are the trusted advisor to clients delivering customized services that solve their facing problems and create competitive advantage for winning the
1 – 1. Decision Tree Using User-defined Algorithm(By SAS E-miner)
Splitting Condition : Entropy Reduction
Minimum Number of Observation : 46(1% of Data Set,
To avoid Overfitting & Underfitting)
Test Accuracy = 1266/1389 = 91.74%
Accuracy is increased little as Decision Tree used by C4.5
Because, Decision Tree is sufficiently good classifier.
According to the above graph, we can find that most of the people live in apartment. That’s why we selected the apartment. In modern Korean society, the general house is apartment. On the one hand, apartment is very convenient and efficient building. On the other hand, it has some problems. According to another data, 40.6% of all respondents replied that the biggest problem of apartment is spa