DP-Story

분류 전체보기에 해당되는 글 12건

• 2021.04.15 [논문 리뷰]Self-training with Noisy Student improves ImageNet classification
• 2021.04.08 [논문 리뷰]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
• 2019.01.27 Chapter 5. Machine Learning Basics (2/2)
• 2019.01.26 Sample mean and sample variance.
• 2019.01.22 Chapter 5. Machine Learning Basics (1/2)
• 2019.01.13 Chapter 4. Numerical Computation
• 2019.01.09 Chapter 3. Probability and Information Theory
• 2019.01.07 Chapter 2. Linear Algebra
• 2018.12.28 Deeplearning 책 리뷰
• 2018.11.01 2. Sparse modeling 소개
• 2018.10.31 1. Introduce Sparse Modeling & 최적화 이론
• 2018.10.31 Machine Learning Intro.