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Guidy

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스마트폰 카메라 인식을 통해 사전에 학습한 관광지를 분류하고 분류한 결과에 따라 음성 가이드를 제공합니다.
김성훈 교수님의 모두의 딥러닝 강의와 텐서플로로 배우는 딥러닝 서적을 통해 머신러닝의 기초지식을 학습하고
학습한 내용을 토대로 이미지 데이터 수집 및 전처리, 모델 개발 및 학습을 진행했습니다.

음성가이드 제작은 Naver Clova의 TTS 기술을 활용했습니다.
(해당 모델은 경복궁의 광화문, 근정전, 경회루, 강녕전 4가지 건축물을 인식하고 분류합니다.)

학습 내용 정리: https://lsh424.tistory.com/category/머신러닝

이미지 인식 및 음성 가이드 제공

모델 학습 및 분석 (Tensorboard 활용)

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