# 歐尼克斯實境互動工作室【學習資源分享】 為方便查找「人工智慧」、「實境互動」等相關學習資源,所以將常用的連結整理至此頁面。所有連結與本站無關,如果圖示、連結失效,可能是原站已停用或變更網址,造成不便敬請見諒。表單中排序和推薦順序無關。另外如有推薦的名單,亦可留言互動,謝謝。 目錄: [toc] --- ## 【人工智慧相關】 ### AI開放課程 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | ![](https://i.imgur.com/fTOedZu.jpg =60x) | [吳恩達(Andrew Ng) - Stanford - CS230: Deep Learning](https://cs230.stanford.edu/) | | ![](https://i.imgur.com/TiB0Qy3.jpg =60x) | [李飛飛(Feifei Li) - Stanford - CS231n: Deep Learning for Computer Vision](http://cs231n.stanford.edu/) | | ![](https://i.imgur.com/fvbyZdC.jpg =60x) | [Justin Johnson - Michigan - EECS 498.008 / 598.008 - Deep Learning for Computer Vision ](https://web.eecs.umich.edu/~justincj/teaching/eecs498/WI2022/) | | ![](https://i.imgur.com/A25993Q.jpg =60x) | [Christopher Potts - Stanford - CS224U: Natural Language Understandin](https://web.stanford.edu/class/cs224u/) | | ![](https://i.imgur.com/lvQtDp2.jpg =60x) | [Jurij Leskovec - Stanford - CS224W: Machine Learning with Graphs](https://web.stanford.edu/class/cs224w/) | | ![](https://i.imgur.com/mfPWyjt.jpg =60x) | [Sergey Levine - UC Berkeley - CS W182 / 282 A: Designing, Visualizing and Understanding Deep Neural Networks](https://cs182sp21.github.io/) | | ![](https://i.imgur.com/6vrySuM.jpg =60x) | [韓松(Song Han) - TinyML and Efficient Deep Learning Computing 6.S965 Fall 2022](https://hanlab.mit.edu/courses/2022-fall-6s965) / [6.5940 Fall 2023](https://hanlab.mit.edu/courses/2023-fall-65940)| | ![](https://i.imgur.com/cEuA20I.jpg =60x) | [Vijay Janspa Reddi - Harvard - CS249r: Tiny Machine Learning](https://sites.google.com/g.harvard.edu/tinyml/) | | ![](https://i.imgur.com/nyDJTXV.jpg =60x) | [Brian Plancher - Barnard, Columbia - tinyMLx/courseware](https://github.com/tinyMLx/courseware) | | ![](https://hackmd.io/_uploads/B1khk2g3R.jpg =60x) | [Mohamed Abdelfattah - Cornell - ECE 5545: Machine Learning Hardware and Systems](https://abdelfattah-class.github.io/ece5545/) | | ![](https://i.imgur.com/TjVRTWJ.jpg =60x) | [Edge Impulse - courseware embedded machine learning](https://github.com/edgeimpulse/courseware-embedded-machine-learning)| | ![](https://i.imgur.com/fZhORRp.jpg =60x) | [李宏毅(Hung-Yi Lee) - 台大電機 - Machine Learning (2022 Spring)](https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php) | | ![](https://hackmd.io/_uploads/SkUZFsn-yx.png =60x) | [葉宗泰(Tsung-Tai Yeh) - 陽明交大資工 - Accelerator Architectures for Machine Learning (Fall 2024)](https://people.cs.nycu.edu.tw/~ttyeh/course/2024_Fall/IOC5009/outline.html) | | ![](https://i.imgur.com/lrKxanV.png =60x) | [許哲豪(Che-Hao Hsu) - 台科大資工 - CS5149701: 人工智慧與邊緣運算實務](https://omnixri.blogspot.com/p/ntust-edge-ai.html) | | ![unnamed](https://hackmd.io/_uploads/rytw_QtR6.jpg =60x)| [陳鍾誠 ─ 金門大學資工 - 人工智慧、系統程式、演算法](https://www.youtube.com/@ccckmit/streams) | | ![](https://i.imgur.com/nkQuok1.png =60x) | [AIGO線上學習課程](https://aigo.org.tw/zh-tw/onlinecourse) | | ![](https://i.imgur.com/OgPN06i.png =60x) | [國家高速網路與計算中心 - AI數位學習平台](https://aiel.nchc.org.tw/) | | ![](https://i.imgur.com/dkBcnPe.png =60x) | [微軟人工智能教育與學習共建社區(簡體)](https://github.com/microsoft/ai-edu) | |![](https://i.imgur.com/KK0E4NS.png =60x) |[Google TensorFlow for Mobile & Edge (Micro-controller) (繁體中文)](https://www.tensorflow.org/lite?hl=zh-tw)| |![front](https://hackmd.io/_uploads/SkqOQmoAp.png =60x) | [動手學深度學習第二版](https://zh-v2.d2l.ai/) | ### AI教學影片 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | ![](https://i.imgur.com/lDVsxou.png =60x) | [Intel OpenVINO Toolkit (Youtube)](https://www.youtube.com/watch?v=kY9nZbX1DWM&list=PLg-UKERBljNxdIQir1wrirZJ50yTp4eHv) | | ![](https://i.imgur.com/zhl6pio.jpg =60x) | [台科大欒斌老師 - 2022欒老師暑期人工智慧基礎與應用 (Youtube)](https://www.youtube.com/watch?v=QDI4yuEPn4E&list=PLEP2u1-Xck9DZcjBKx4_HLt8-p9_GLkkG) | | ![](https://i.imgur.com/eZ2xYJE.jpg =60x) | [台大資工林軒田老師 - 機器學習 (Youtube)](https://www.youtube.com/@hsuantien/playlists) | | ![](https://i.imgur.com/j55sfUv.jpg =60x) | [台大電機李宏毅老師 - 機器學習 (Youtube)](https://www.youtube.com/@HungyiLeeNTU/playlists) | | ![](https://i.imgur.com/SfoJRH5.jpg =60x) | [台大資工陳縕儂老師 ─ 深度學習之應用(Fall 2022) (Youtube)](https://www.youtube.com/watch?v=rrw0IIEVEUo&list=PLOAQYZPRn2V5yumEV1Wa4JvRiDluf83vn) | | ![](https://i.imgur.com/g3VFwyZ.jpg =60x) | [2018 Mike - 人工智慧、機器學習 (Youtube)](https://www.youtube.com/@Mike-xh6sv/videos) | | ![](https://i.imgur.com/Z1UkYtJ.jpg =60x) | [微軟技術捷運 - 人工智慧線 (Youtube)](https://www.youtube.com/watch?v=vOXu7Z5Kf54&list=PLHa5e-VBcxSrg4ymKn2O0WPCTmMTsMz2f) | |![](https://i.imgur.com/YYaPSDP.jpg =60x) |[跟李沐學AI](https://www.youtube.com/@AI-qb8eh/videos)、[Mu Li](https://www.youtube.com/@mu_li/videos) | |![channels4_profile](https://hackmd.io/_uploads/HJ27c98p6.jpg =60x) |[Wenhua-Yu AI Focus](https://www.youtube.com/@Wenhua-Yu-AI-Lesson-EN/videos)| |![channels4_profile](https://hackmd.io/_uploads/BkdRrkgBA.jpg =60x)|[ZOMI酱](https://www.youtube.com/@ZOMI666/videos)| ### TinyML教學影片 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | ![](https://i.imgur.com/Eoj4pt2.jpg =60x) | [tinyML Foundation - TinyML (Youtube)](https://www.youtube.com/@tinyML/playlists) | | ![](https://i.imgur.com/mt72cyz.jpg =60x) | [Edge Impulse - TinyML (Youtube)](https://www.youtube.com/@EdgeImpulse/playlists)| | ![](https://i.imgur.com/bxLkjPM.jpg =60x) | [MIT HAN Lab - TinyML and Efficient Deep Learning Computing, Fall 2022, MIT 6.S965 (Youtube)](https://www.youtube.com/playlist?list=PL80kAHvQbh-ocildRaxjjBy6MR1ZsNCU7) / [EfficientML.ai Lecture, Fall 2023, MIT 6.5940 (Youtube)](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)| | ![](https://i.imgur.com/37DlG0B.jpg =60x) | [xLAB - TinyML - Tiny Machine Learning at UPenn (Youtube)](https://www.youtube.com/playlist?list=PL7rtKJAz_mPe6kAbiH6Ucq02Vpa95qvBJ) | | ![](https://i.imgur.com/CDikF8U.jpg =60x) | [Arduino TinyML Kit Tutorial (Youtube)](https://www.youtube.com/watch?v=LXgL850p7b0&list=PLUwmiNOPP-7hrRFsplajItGAn5ykUjOgY) | | ![prof_pic](https://hackmd.io/_uploads/B1khk2g3R.jpg =60x) | [Mohamed Abdelfattah - Cornell - Machine Learning Hardware and Systems (Spring 2022)(Youtube)](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6) | ### AI教學網站 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | ![](https://i.imgur.com/KrYfhIt.jpg =60x) | [歐尼克斯實境互動工作室 - 系列發文](https://omnixri.blogspot.com/p/blog-page_19.html) | | ![](https://i.imgur.com/2DffEWx.png =60x) | [CAVEDU教育團隊技術部落格](https://blog.cavedu.com/) | | ![](https://i.imgur.com/6jCyC8v.jpg =60x) | [CH.Tseng - 機器學習](https://chtseng.wordpress.com/) | | ![](https://i.imgur.com/byz1ClS.png =60x) | [李謦伊的閱讀筆記](https://medium.com/@chingi071) | |![](https://hackmd.io/_uploads/H1fcwoRU2.png =64x) | [LearnOpenCV](https://learnopencv.com/) | |![](https://hackmd.io/_uploads/rJYrsAG4p.jpg =64x) | [Sik-Ho Tsang's Medium](https://sh-tsang.medium.com/) | |![thommaskevin](https://hackmd.io/_uploads/r15l_BE0p.jpg =64x)| [Thommaskevin's Medium - TinyML機器學習 ](https://medium.com/@thommaskevin) | ### AI開源工具 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | ![](https://i.imgur.com/lDVsxou.png =80x) | [Intel OpenVINO Toolkit](https://docs.openvino.ai/) | | ![](https://i.imgur.com/VOFTSZY.jpg =60x) | [Google MediaPipe](https://google.github.io/mediapipe/) | |![](https://i.imgur.com/Zn2emYZ.jpg =60x) |[Microsoft EdgeML](https://microsoft.github.io/EdgeML/)| | ![](https://i.imgur.com/c4hLw9l.png =60x) |[Seeed Studio EdgeLab](https://github.com/Seeed-Studio/Edgelab)| |![](https://i.imgur.com/rXiXwyW.png =60x)|[OpenMMLab](https://openmmlab.com/)| ### AI開放式資料集 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | ![](https://i.imgur.com/qybeQ05.jpg =60x) | [Kaggle AI開放式比賽](https://www.kaggle.com/) | | ![](https://i.imgur.com/RWxZOdO.jpg =60x) | [Papers with code](https://paperswithcode.com/) | | ![](https://i.imgur.com/sF97Egt.png =60x) | [Microsoft Common Objects in Context (COCO)](https://cocodataset.org/) | | ![](https://i.imgur.com/5rN5Opq.png =80x) | [ImageNet Dataset](https://www.image-net.org/) | | ![](https://i.imgur.com/BtGxBM5.png =80x) | [Pascal visual Object Classes](http://host.robots.ox.ac.uk/pascal/VOC/) | | ![](https://i.imgur.com/6lkVcO1.jpg =80x) | [機器之心 - SOTA模型 - 數據集](https://sota.jiqizhixin.com/datasets) | | ![roboflow](https://hackmd.io/_uploads/S1j1yoLTT.png =60x) | [Roboflow - Public Datasets](https://public.roboflow.com/) | --- ## 【實境互動相關】 ### 立體顯示 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | | | ### 人機互動 | 代表圖示 | 網站內容及連結 | | :--------: | -------- | | | | --- 歡迎按讚、分享,更多精彩文章請參考[【歐尼克斯實境互動工作室】](https://omnixri.blogspot.com)。 ###### tags: `blogger`
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