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2024/11 26

[Kaggle Study] 15. Why Use Convolutional Layer?

This post heavily relies on Andrew Ng's lecture: 컨볼루션 신경망DeepLearning.AI에서 제공합니다. 딥러닝 전문 과정의 네 번째 과정에서는 컴퓨터 비전이 어떻게 발전해 왔는지 이해하고 자율주행, 얼굴 인식, 방사선 이미지 판독 등 흥미로운 응용 분야에 익숙해www.coursera.orgAdvantages of Convolutional Layers Over Fully Connected LayersFollowing above example, if we use Fully-connected layer instead of Convolutional layer, we should connect 3,072 and 4,704 neurons.That is, the number..

캐글 2024.11.20

[Kaggle Extra Study] 17. Multiclass Classification Threshold Optimization 다중분류 임계값 최적화

Multiclass Classification can be divided into 2 categories: ordinal classification and nominal classification.For nominal(명목형) classification problems, you can think of a multiclass classification algorithm that outputs probability distributions like [0.7, 0.1, 0.2] for distinguishing between car, human, and tree.For ordinal classification, you can think of a problem that categorizes a child's c..

캐글 보충 2024.11.17
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