Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Deep Learning Research Engineer
Industry
Technology / Software / Internet
About
현재 LG CNS 정보기술연구소에서 딥러닝(Deep Learning) 연구과제 PM(Project Manager)으로 재직 중이며, 딥러닝 연구 디렉팅과 구현을 리딩하고 있습니다. 딥러닝 주요 연구 주제는 기업 내 영상 분석을 위한 Visual object recognition & detection과 지능형 의사결정 지원을 위한 자연어 이해(Natural Language Understanding)입니다.
Tags
deep learning
cnn backpropagation
convolutional neural nets
ai
alphago
machine learning
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- Presentations
- Documents
- Infographics
Investment and deep learning
NAVER Engineering
•
5 years ago
Precise LSTM Algorithm
YasutoTamura1
•
3 years ago
Introduction to MAML (Model Agnostic Meta Learning) with Discussions
Joonyoung Yi
•
5 years ago
Gradient-based Meta-learning with learned layerwise subspace and metric
NAVER Engineering
•
6 years ago
Deep Learning, Where Are You Going?
NAVER Engineering
•
6 years ago
AlphaZero
Karel Ha
•
6 years ago
Random Thoughts on Paper Implementations [KAIST 2018]
Taehoon Kim
•
6 years ago
[밑러닝] Chap06 학습관련기술들
종현 최
•
6 years ago
Dilek Hakkani-Tur at AI Frontiers: Conversational machines: Deep Learning for Goal-Oriented Dialogue Systems
AI Frontiers
•
6 years ago
Linear algebra
Sungbin Lim
•
7 years ago
Wasserstein GAN 수학 이해하기 I
Sungbin Lim
•
6 years ago
Recent Trends in Deep Learning
Sungjoon Choi
•
6 years ago
Understanding deep learning requires rethinking generalization (2017) 2 2(2)
정훈 서
•
7 years ago
Understanding deep learning requires rethinking generalization (2017) 1/2
정훈 서
•
7 years ago
Understanding deep learning requires rethinking generalization
Jamie Seol
•
7 years ago
알아두면 쓸데있는 신기한 강화학습 NAVER 2017
Taehoon Kim
•
6 years ago
Deep Learning Models for Question Answering
Sujit Pal
•
7 years ago
Q Learning과 CNN을 이용한 Object Localization
홍배 김
•
7 years ago
기계 학습의 현재와 미래
Joon Kim
•
7 years ago
Modeling Electronic Health Records with Recurrent Neural Networks
Josh Patterson
•
8 years ago