2017/03111 [Yuxi Li] Deep Inforcement Learning: An Overview - 강화학습 레퍼런스 소개 [이미지 출처: KRIGOLSON TEACHING] ● 목차 1 INTRODUCTION 2 BACKGROUND 3 DEEP Q-NETWORK 4 ASYNCHRONOUS METHODS 5 POLICY OPTIMIZATION 6 REWARD 7 PLANNING 8 ATTENTION AND MEMORY 9 UNSUPERVISED LEARNING 10 LEARNING TO LEARN 11 GAMES 12 ALPHAGO 13 ROBOTICS 14 SPOKEN DIALOGUE SYSTEMS 15 MACHINE TRANSLATION 16 TEXT SEQUENCE PREDICTION 17 NEURAL ARCHITECTURE DESIGN 18 PERSONALIZED WEB SERVICES 19 HEALTHCARE 20 .. 2017. 3. 2. [Haohan Wang / Bhiksha Raj] On the Origin of Deep Learning - 딥러닝 알고리즘 소개 [이미지 출처: KDnuggets] ● 목차 1. Introduction 2. From Aristotle to Modern Arti cial Neural Networks 3. From Modern Neural Network to the Era of Deep Learning 4. The Network as Memory and Deep Belief Nets 5. Convolutional Neural Networks and Vision Problems 6. Time Series Data and Recurrent Networks 7. Optimization of Neural Networks 8. Conclusion -기사출처/문서받기 링크: 텐서플로우 블로그 "Review Paper of DL, RL" -문서 2017. 3. 2. [금융감독원] 개정 금융분야 개인정보보호 가이드라인 ■ 목차 Ⅰ. 가이드라인 개요 ························································· 4 Ⅱ. 기본원칙 ····································································· 6 Ⅲ. 개인(신용)정보 처리단계별 원칙 ································ 12 1. 개인(신용)정보의 수집 ········································ 12 2. 개인(신용)정보의 이용 ········································ 17 3. 개인(신용)정보의 제공 ········································ 19 4. 고.. 2017. 3. 2. [금융감독원] IT 검사업무 안내서 ● 목차 제1장 검사업무 전반 제2장 IT부문 실태 평가 제3장 IT감사 제4장 IT경영 제5장 시스템 개발, 도입 및 유지보수 제6장 IT서비스 제공 및 지원 제7장 IT보안 및 정보보호 -문서받기: 2017. 3. 2. 이전 1 ··· 24 25 26 27 28 다음
