목록classification (5)
On the journey of
[논문읽기] Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks
Original Paper ) https://www.sciencedirect.com/science/article/abs/pii/S1746809422006966 Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks Alcoholism is a common complex brain disorder caused by excessive drinking of alcohol and severely affected the basic function of the brain. This pape… www.sciencedirect.com Deep DAIV 활동의 프로젝트를 위한 논리적 빌드업? 정도..
[논문읽기] Zero-Shot Learning Through Cross-Modal Transfer
Original Paper ) https://arxiv.org/abs/1301.3666v2 Zero-Shot Learning Through Cross-Modal Transfer This work introduces a model that can recognize objects in images even if no training data is available for the objects. The only necessary knowledge about the unseen categories comes from unsupervised large text corpora. In our zero-shot framework distrib arxiv.org 전에 MeLU 추천시스템에 대해 포스팅한 적이 있었다(같은..
[딥러닝 홀로서기] 4.Binary / Multi-Label Classification
[#6.Lec] Binary / Multi-Label Classification - 딥러닝 홀로서기 - YouTube Binary Classification Supervised Learning Unsupervised Learning Reinforcement Learning Discrete Classification Clustering Discrete Action Space Agent Continuous Regression Dimensionality Reduction Continuous Action Space Agent Semi - Supervised Learning = Supervised Learning + Unsupervised Learning (준지도학습) Supervised Learnin..
What is Machine Learning? "A Field of study that gives computer the ability to learn without being explicitly programmed" if-else문과 같은 수백 개의 조합으로 룰베이스로 코드를 짤 필요 없이 알아서 학습을 한다 Deep Learning 머신 러닝에서 쓰이는 학습 방법을 차용하여 머신러닝 알고리즘의 성능을 좀 더 올릴 수 있는 방법론이며 Feature Extractor이라고도 표현할 수도 있다 Representation Learning 딥러닝과 머신러닝의 간극 즈음에 자리하여 feature들을 조금 더 잘 표현하는 법을 학습한다 e.g.) shallow neural network Machine L..