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Unternehmen/Arbeitsplatz
Daejeon, Korea
Beruf
Reseaech Scientisit / Ph.D.
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Technology / Software / Internet
Webseite
jaejunyoo.blogspot.com
Tags
pr12
super-resoluton
image enhancement
image restoration
gan
cvpr 2020
data augmentation
cvpr
wct2
style transfer
deep learning
generative model
superresolution
implicit neural representation
cutblur
unsupervised
simusr
augmentation
inverse problem
deep learnig
normalization
iclr2018
concrete distribution
reparameterization trick
gumbel softmax
generalization
iclr2017
hinton
capsule network
capsnet
neural network
xception
inception
googlenet
pixelrnn
pixelcnn
persistent homology
manifold simplification
residual learning
topological data analysis
algebraic topology
sisr
dann
transfer learning
domain adaptation
unrolled gan
eggan
infogan
f-gan
dcgan
wgan
introduction
generative adversarial network
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Präsentationen
(15)Gefällt mir
(12)우아하게 준비하는 테스트와 리팩토링 - PyCon Korea 2018
Kenneth Ceyer
•
Vor 5 Jahren
머신러닝 해외 취업 준비: 닳고 닳은 이력서와 고통스러웠던 면접을 돌아보며 SNU 2018
Taehoon Kim
•
Vor 5 Jahren
여러 컨볼루션 레이어 테크닉과 경량화 기법들
Dongyi Kim
•
Vor 5 Jahren
Data Science. Intro
Seongyun Byeon
•
Vor 6 Jahren
Generative adversarial network
강민국 강민국
•
Vor 6 Jahren
GCP CloudML Intro
CHUN HO LEE
•
Vor 6 Jahren
Understanding deep learning requires rethinking generalization (2017) 2 2(2)
정훈 서
•
Vor 7 Jahren
Modeling uncertainty in deep learning
Sungjoon Choi
•
Vor 6 Jahren
Harmonic Analysis and Deep Learning
Sungbin Lim
•
Vor 6 Jahren
How Google Works / 구글은 어떻게 일하는가 (Korean / 한국어 버전)
Mika Eunjin Kang
•
Vor 9 Jahren
딥러닝을 이용한 자연어처리의 연구동향
홍배 김
•
Vor 7 Jahren
파이썬 확률과 통계 기초 이해하기
Yong Joon Moon
•
Vor 8 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Daejeon, Korea
Beruf
Reseaech Scientisit / Ph.D.
Branche
Technology / Software / Internet
Webseite
jaejunyoo.blogspot.com
Tags
pr12
super-resoluton
image enhancement
image restoration
gan
cvpr 2020
data augmentation
cvpr
wct2
style transfer
deep learning
generative model
superresolution
implicit neural representation
cutblur
unsupervised
simusr
augmentation
inverse problem
deep learnig
normalization
iclr2018
concrete distribution
reparameterization trick
gumbel softmax
generalization
iclr2017
hinton
capsule network
capsnet
neural network
xception
inception
googlenet
pixelrnn
pixelcnn
persistent homology
manifold simplification
residual learning
topological data analysis
algebraic topology
sisr
dann
transfer learning
domain adaptation
unrolled gan
eggan
infogan
f-gan
dcgan
wgan
introduction
generative adversarial network
Mehr anzeigen