Jinho Lee

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11 SlideShares 9 Followers 8 Followings

11 SlideShares 9 Followers 8 Followings

machine learning deep learning book gan deep learning generative models generative adversarial networks wasserstein gan wgan quantum 양자컴퓨터 양자컴퓨팅 activelearning svm support vector machine tensorflow docker kkt conditions variational auto-encoders denoising auto-encoder auto-encoders

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Ch.2 Linear Algebra

5 years ago • 477 Views

Ch.3 Probability and Information Theory

5 years ago • 228 Views

Auto-Encoders and Variational Auto-Encoders

5 years ago • 345 Views

Ch.4 numerical computation

5 years ago • 109 Views

Ch.5 machine learning basics

5 years ago • 449 Views

Wasserstein gan

5 years ago • 321 Views

Support vector machines

5 years ago • 123 Views

Generative Adversarial Nets

5 years ago • 207 Views

Wasserstein GAN

4 years ago • 224 Views

Effective active learning strategy for multi label learning

1 year ago • 41 Views

Quantum computing and quantum information 1.2, 1.3

1 month ago • 7 Views

Faster R-CNN - PR012

Jinwon Lee • 6 years ago

PR-207: YOLOv3: An Incremental Improvement

Jinwon Lee • 4 years ago

YOLO9000 - PR023

Jinwon Lee • 6 years ago

Deep Learning from scratch 4장 : neural network learning

JinSooKim80 • 4 years ago

Deep Learning from scratch 3장 : neural network

JinSooKim80 • 4 years ago

Deep Learning from scratch 5장 : backpropagation

JinSooKim80 • 4 years ago

Invertible residual networks Review

수철 박 • 4 years ago

[T아카데미] 비개발자를 위한 Git과 Github Page 블로그 만들기

Subin An • 4 years ago

boosting 기법 이해 (bagging vs boosting)

SANG WON PARK • 6 years ago

Pycon korea 2018 kaggle tutorial(kaggle break)

Yeonmin Kim • 5 years ago

Wasserstein GAN 수학 이해하기 I

Sungbin Lim • 6 years ago

Wasserstein GAN

Bar Vinograd • 6 years ago

The world of loss function

홍배 김 • 5 years ago

딥러닝 기본 원리의 이해

Hee Won Park • 6 years ago

텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016

Taehoon Kim • 7 years ago

machine learning deep learning book gan deep learning generative models generative adversarial networks wasserstein gan wgan quantum 양자컴퓨터 양자컴퓨팅 activelearning svm support vector machine tensorflow docker kkt conditions variational auto-encoders denoising auto-encoder auto-encoders

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