Personal Information
Organización/Lugar de trabajo
Korea Korea, South
Ocupación
Deep Learning Research Engineer
Sector
Technology / Software / Internet
Acerca de
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.
Etiquetas
deep learning
cnn backpropagation
convolutional neural nets
ai
alphago
machine learning
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Presentaciones
(2)Recomendaciones
(62)Investment and deep learning
NAVER Engineering
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Hace 5 años
Precise LSTM Algorithm
YasutoTamura1
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Hace 3 años
Introduction to MAML (Model Agnostic Meta Learning) with Discussions
Joonyoung Yi
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Hace 5 años
Gradient-based Meta-learning with learned layerwise subspace and metric
NAVER Engineering
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Hace 6 años
Deep Learning, Where Are You Going?
NAVER Engineering
•
Hace 6 años
AlphaZero
Karel Ha
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Hace 6 años
Random Thoughts on Paper Implementations [KAIST 2018]
Taehoon Kim
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Hace 6 años
[밑러닝] Chap06 학습관련기술들
종현 최
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Hace 6 años
Dilek Hakkani-Tur at AI Frontiers: Conversational machines: Deep Learning for Goal-Oriented Dialogue Systems
AI Frontiers
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Hace 6 años
Linear algebra
Sungbin Lim
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Hace 7 años
Wasserstein GAN 수학 이해하기 I
Sungbin Lim
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Hace 7 años
Recent Trends in Deep Learning
Sungjoon Choi
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Hace 6 años
Understanding deep learning requires rethinking generalization (2017) 2 2(2)
정훈 서
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Hace 7 años
Understanding deep learning requires rethinking generalization (2017) 1/2
정훈 서
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Hace 7 años
Understanding deep learning requires rethinking generalization
Jamie Seol
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Hace 7 años
알아두면 쓸데있는 신기한 강화학습 NAVER 2017
Taehoon Kim
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Hace 6 años
Deep Learning Models for Question Answering
Sujit Pal
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Hace 7 años
Q Learning과 CNN을 이용한 Object Localization
홍배 김
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Hace 7 años
기계 학습의 현재와 미래
Joon Kim
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Hace 7 años
Modeling Electronic Health Records with Recurrent Neural Networks
Josh Patterson
•
Hace 8 años
Deep Advances in Generative Modeling
indico data
•
Hace 8 años
지적 대화를 위한 깊고 넓은 딥러닝 PyCon APAC 2016
Taehoon Kim
•
Hace 7 años
텐서플로우 기초 이해하기
Yong Joon Moon
•
Hace 7 años
Applied Deep Learning 11/03 Convolutional Neural Networks
Mark Chang
•
Hace 7 años
Generative Adversarial Networks
Mark Chang
•
Hace 7 años
Variational Autoencoder
Mark Chang
•
Hace 7 años
DRAW: Deep Recurrent Attentive Writer
Mark Chang
•
Hace 7 años
괴델(Godel)의 불완전성 정리 증명의 이해.
Jinseob Kim
•
Hace 8 años
One-Shot Learning
Jisung Kim
•
Hace 7 años
Personal Information
Organización/Lugar de trabajo
Korea Korea, South
Ocupación
Deep Learning Research Engineer
Sector
Technology / Software / Internet
Acerca de
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.
Etiquetas
deep learning
cnn backpropagation
convolutional neural nets
ai
alphago
machine learning
Ver más