{"id":23364077,"url":"https://github.com/rickiepark/deep-learning-with-javascript","last_synced_at":"2025-04-10T12:51:41.330Z","repository":{"id":46000219,"uuid":"395680540","full_name":"rickiepark/deep-learning-with-javascript","owner":"rickiepark","description":"\u003c구글 브레인 팀에게 배우는 딥러닝 with TensorFlow.js\u003e(길벗, 2022)의 코드 저장소","archived":false,"fork":false,"pushed_at":"2022-04-04T15:07:33.000Z","size":50150,"stargazers_count":22,"open_issues_count":0,"forks_count":12,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-24T11:38:24.785Z","etag":null,"topics":["deep-learning","javascript","machine-learning","tensorflow","tensorflow-js"],"latest_commit_sha":null,"homepage":"https://tensorflow.blog/tfjs/","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rickiepark.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-08-13T14:17:34.000Z","updated_at":"2025-03-05T01:18:16.000Z","dependencies_parsed_at":"2022-07-18T04:46:39.467Z","dependency_job_id":null,"html_url":"https://github.com/rickiepark/deep-learning-with-javascript","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdeep-learning-with-javascript","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdeep-learning-with-javascript/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdeep-learning-with-javascript/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdeep-learning-with-javascript/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rickiepark","download_url":"https://codeload.github.com/rickiepark/deep-learning-with-javascript/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248220200,"owners_count":21067255,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","javascript","machine-learning","tensorflow","tensorflow-js"],"created_at":"2024-12-21T13:14:01.307Z","updated_at":"2025-04-10T12:51:41.300Z","avatar_url":"https://github.com/rickiepark.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 구글 브레인 팀에게 배우는 딥러닝\n\n![cover](https://tensorflowkorea.files.wordpress.com/2022/03/e18480e185aee18480e185b3e186afe18487e185b3e18485e185a6e1848be185b5e186abe18490e185b5e186b7e1848be185a6e18480e185a6e18487e185a2e1848be185aee18482e185b3e186abe18483e185b5e186b8e18485e185a5-1.jpg?w=600)\n\n이 저장소는 \u003c[구글 브레인 팀에게 배우는 딥러닝 with TensorFlow.js](https://bit.ly/tfjs-book)\u003e(길벗, 2022)의 코드를 담고 있습니다. 온라인 [데모 사이트](https://bit.ly/tfjs-demo)에서 예제를 직접 실행해 볼 수도 있습니다!\n\n* 2장: [보스턴 주택 가격 예측](boston-housing)\n* 3장: [웹사이트 피싱 감지](website-phishing)\n* 3장: [붓꽃 품종 분류](iris)\n* 4장: [MNIST 손글씨 숫자 분류](mnist)\n* 4장: [Node.js로 훈련 속도 높이기](mnist-node)\n* 4장: [단어 음성 인식](speech-commands)\n* 5장: [MNIST 전이 학습](mnist-transfer-cnn)\n* 5장: [웹캠으로 팩맨 제어하기](webcam-transfer-learning)\n* 5장: [간단한 객체 탐지](simple-object-detection)\n* 6장: [tfjs-data 제너레이터 예제](data-generator)\n* 6장: [tfjs-data CSV 예제](data-csv)\n* 7장: [예나 날씨 데이터 시각화와 예측](jena-weather)\n* 7장: [합성곱 신경망 시각화](visualize-convnet)\n* 9장: [RNN으로 날씨 예측하기](jena-weather-rnn)\n* 9장: [텍스트 감성 분석](sentiment)\n* 9장: [날짜 포맷 변환](date-conversion-attention)\n* 10장: [텍스트 생성](lstm-text-generation)\n* 10장: [변이형 오토인코더](fashion-mnist-vae)\n* 10장: [생성적 적대 신경망(GAN)](mnist-acgan)\n* 11장: [카트-막대 문제](cart-pole)\n* 11장: [스네이크 게임](snake-dqn)\n* 12장: [가중치 양자화](quantization)\n* 12장: [사전 훈련된 MobileNet 사용하기](mobilenet)\n* 12장: [크롬 확장 프로그램 만들기](chrome-extension)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickiepark%2Fdeep-learning-with-javascript","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frickiepark%2Fdeep-learning-with-javascript","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickiepark%2Fdeep-learning-with-javascript/lists"}