728x90 반응형 deep learning21 Vehicle Interior Detection (3) ▤ 목차DataData plays a pivotal role in the success of AI-driven solutions, particularly in applications like Socar's vehicle contamination detection project. The quality, quantity, and diversity of data directly influence the performance, accuracy, and reliability of the AI model. In this project, data serves as the foundation for training, validating, and refining the deep learning model, enablin.. 2025. 1. 23. Vehicle Interior Detection (2) ▤ 목차Proof of ConceptResearch and DevelopmentThis section presents the configuration of the project, detailing the data collection strategies, technical methodologies, anticipated outcomes, and a structured implementation plan. The research and development phase is integral to transforming the theoretical concept into a practical, AI-driven solution that addresses the identified challenges effect.. 2025. 1. 22. Vehicle Interior Detection (1) ▤ 목차Proof of ConceptThe Intention of the ProjectThe Socar app facilitates a structured and user-centric workflow that simplifies the car rental process into three main stages: renting, accessing, and returning the vehicle. The first stage, renting a car, begins with clients selecting a date, time, and location that aligns with their travel needs. This step provides flexibility to users, allowing.. 2025. 1. 21. Vehicle Interior Detection (0) ▤ 목차OverviewThe Vehicle Interior Detection project was a company-affiliated initiative designed to explore innovative ways to enhance the company’s application and services by integrating advanced artificial intelligence (AI) systems. The primary objective of this project was to simplify and improve the user experience through the application of AI-driven solutions. The scope of the project is s.. 2025. 1. 16. 2022 LG Uplus AI Ground (1) ▤ 목차ModelingIn this section, we detail the modeling approaches used during the competition, focusing on the development, experimentation, and optimization of two recommendation algorithms: Neural Collaborative Filtering (NCF) and LightGCN.Neural Collaborative Filtering (NCF)NCF PaperNCFMatrix FactorizationOptunaThe Netflix Prize established matrix factorization (MF) as a fundamental technique in.. 2025. 1. 15. Backpropagation ▤ 목차The Purpose of Backpropagation인공 신경망을 학습시키기 위한 알고리즘 중 하나 신경망을 학습시키는 목표 중 하나는 도출된 예측값과 실제 값의 차이(오차)를 줄이기 위함이다 그렇기에 역전파를 사용해 오차를 모든 가중치에 전달하여 갱신을 하며 궁극적으로 오차를 줄이는 기법이다노드가 가지고 있는 가중치(weight)나 편향(bias) 같은 변수들을 어떻게 갱신(update) 하나?노드의 변수들을 어떻게 개별적으로 얼마큼 업데이트 하나?Chain rule(연쇄 법칙)을 이용해 위 두 가지 질문들을 해결할 수 있다Chain Rule (연쇄법칙)💡 Chain rule (연쇄법칙) 함수 $f, g$가 있을 때 $f$와 $g$가 모두 미분 가능하고 $F=f(g(x))=f \circ g$.. 2024. 12. 17. 이전 1 2 3 4 다음 728x90 반응형
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