Seungjun's blog

Seungjun's blog

  • 분류 전체보기 (32)
    • DeepLearning (11)
      • GAN (6)
      • Medical AI (1)
      • Lecture Notes (0)
    • Machine Learning (0)
      • Mathematics (0)
  • 홈
  • 태그
  • 방명록
RSS 피드
로그인
로그아웃 글쓰기 관리

Seungjun's blog

컨텐츠 검색

태그

gan 스타일겐 AutoAugment 스타일갠 StyleGAN RandAugment 분산학습 StyleGAN2 BigGAN Semi-Supervised multi gpu Analyzing and Improving the Image Quality of StyleGAN Distributed Data Parallel Style based generator GANomaly GANSpace: Discovering Interpretable GAN Controls Fast-AutoAugment Paper Review GANspace AnoGAN

최근글

댓글

공지사항

아카이브

전체 글(32)

  • [GAN] 반드시 읽어야 할 논문 리스트

    Lists of Must-Read Papers Goodfellow, Ian, et al. “Generative adversarial nets” Advances in neural information processing systems. 2014. Conditional GAN pix2pix CycleGAN Salimans, Tim, et al. “Improved techniques for training gans” Advances in neural information processing systems. 2016. WassersteinGAN Non saturating GAN LSGAN DCGAN Semi-supervised GAN Spectral Normalization for Generative Adver..

    2020.07.25
  • Small Batch Size in Deep Learning

    How to Choose the Batch Size? 일반적으로 아래 세 가지 batch size를 결정할 수 있으며, 배치 사이즈의 크기에 따라 딥러닝의 성능에 많은 영향을 미친다. Batch(deterministic) Gradient Descent Mini-Batch Gradient Descent Stochastic(Online) Gradient Descent Large Batch Small Batch Accurate estimate of the gradient (low variance) Noisy estimate of the gradient (high variance) High Computation cost per iteration Low computation cost per iteration Hi..

    2020.07.23
이전
1 ··· 3 4 5 6
다음
티스토리
© 2018 TISTORY. All rights reserved.

티스토리툴바