Dic
- feature map 2019.12.31
- AR 2019.12.04
- Page Rank 2019.12.02
- AUC - ROC Curve 2019.11.27
- GAN 2019.11.19
- Inductive Bias 2019.11.17
- Beta distribution 2019.11.17
- Empirical risk minimization 2019.11.17
feature map
2019. 12. 31. 10:57
AR
2019. 12. 4. 16:29
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https://brunch.co.kr/@pmhdac/2
증강현실(AR)이란 무엇인가?
증강현실(AR)에 대한 사전적 정의와 분류 | 현재 다니고 있는 직장으로 이직하기 전, VR/AR 스타트업에서 PM(Product Manager)의 역할을 맡았었다. 초기엔 VR 분야의 서비스를 개발하는데 주로 시간을 보냈지만, 시간이 지날수록 우리 삶에 진정한 변화를 가져다 줄 기술은 AR일 것이라고 생각하게 되었다. 디지털과 플랫폼 비즈니스 컨설팅을 하는 현재의 회사로 이직한 후 가장 많은 관심을
brunch.co.kr
http://www.nvp.co.kr/news/articleView.html?idxno=123335
[AI로 거듭나는 AR·VR①] 인지 메커니즘 이해 통한 몰입감 향상 기술개발 '박차' - 뉴스비전e
[뉴스비전e 박준상 기자] 최근의 과학기술은 시간과 공간의 한계를 극복하고, 인간의 생각이나 감각을 모방하는 기술에 촛점이 맞춰지고 있다.한동안 침체됐던 가상·증강(AR/VR) 기술이 인공지능을 통한 인지기...
www.nvp.co.kr
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| GAN (0) | 2019.11.19 |
Page Rank
2019. 12. 2. 21:10
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https://medium.com/@sarthakanand/page-rank-b7072c61dd85
Page Rank
In simple terms, PageRank is an intuitive way of ranking web pages, which formed the basis for Google’s web indexing algorithm during its…
medium.com
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'Dic' 카테고리의 다른 글
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| AR (0) | 2019.12.04 |
| AUC - ROC Curve (0) | 2019.11.27 |
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| Inductive Bias (0) | 2019.11.17 |
AUC - ROC Curve
2019. 11. 27. 13:45
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https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5
Understanding AUC - ROC Curve
In Machine Learning, performance measurement is an essential task. So when it comes to a classification problem, we can count on an AUC …
towardsdatascience.com
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| Beta distribution (0) | 2019.11.17 |
GAN
2019. 11. 19. 11:32
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https://towardsdatascience.com/generative-adversarial-networks-explained-34472718707a
Generative Adversarial Networks — Explained
Deep learning has changed the way we work, compute and has made our lives a lot easier. As Andrej Karpathy mentioned it is indeed the…
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https://pathmind.com/wiki/generative-adversarial-network-gan
A Beginner's Guide to Generative Adversarial Networks (GANs)
Generative adversarial networks (GANs) are deep neural net architectures comprised of two nets, pitting one against the other.
pathmind.com
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| Page Rank (0) | 2019.12.02 |
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| Beta distribution (0) | 2019.11.17 |
| Empirical risk minimization (0) | 2019.11.17 |
Inductive Bias
2019. 11. 17. 20:45
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https://blog.naver.com/blue772001/175731604
Inductive Bias
Inductive Bias : 대강 (informally) 말하자면, machine learning algorithm 의 inductive bias 는 학습...
blog.naver.com
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| AUC - ROC Curve (0) | 2019.11.27 |
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| GAN (0) | 2019.11.19 |
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| Graph Convolutional Networks (0) | 2019.11.14 |
Beta distribution
2019. 11. 17. 20:18
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https://medium.com/w2hds/beta-distribution-what-when-how-c5ebaafdeedd
Beta Distribution [What, When & How]
Welcome to the series of W2HDS(What, When & How in Data Science). W2HDS comes with stories on topics which are in day to day use of a Data…
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| ‘model.eval()’ vs ‘with torch.no_grad()’ (0) | 2019.11.05 |
Empirical risk minimization
2019. 11. 17. 19:49
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https://en.wikipedia.org/wiki/Empirical_risk_minimization
Empirical risk minimization - Wikipedia
Empirical risk minimization (ERM) is a principle in statistical learning theory which defines a family of learning algorithms and is used to give theoretical bounds on their performance. The core idea is that we cannot know exactly how well an algorithm wi
en.wikipedia.org
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| ‘model.eval()’ vs ‘with torch.no_grad()’ (0) | 2019.11.05 |
| Semi-supervised learning (0) | 2019.10.31 |