[FreeCourseSite.com] Udemy - Deploy Face Recognition Web App with Machine Learning Flask

磁力链接/BT种子名称

[FreeCourseSite.com] Udemy - Deploy Face Recognition Web App with Machine Learning Flask

磁力链接/BT种子简介

种子哈希：c6e3a91586fbe4019e3e7a05c56e7500d0838c44
文件大小： 3.82G
已经下载：5195次
下载速度：极快
收录时间：2023-09-16
最近下载：2025-10-08

地址随时变，回家记住路

小野猫.com黑猫警长.com哆啦a猫.com御猫.com科目三.com猫哭老鼠.com女猫.com☜☜☜找最新地址请保存左面网址

磁力链接

magnet:?xt=urn:btih:C6E3A91586FBE4019E3E7A05C56E7500D0838C44
推荐使用PIKPAK网盘下载资源，PIKPAK是目前最好用网盘，10T超大空间，不和谐任何资源，支持无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 在线观看 世界之窗 含羞草 极乐禁地 91视频 51品茶 逼哩逼哩 萝莉岛 欲漫涩 91短视频 成人快手 抖阴破解版 ai色色 pilipili 草榴社区 哆哔涩漫 好色先生 疯马秀 TikTok成人版 悠悠禁区 波多 听泉鉴鲍 xvideo 外网天堂 PornHub 抖音Max 呦乐园 拔萝卜 糖心视频 麻豆Vlog 少女日记

资源截图

API Integration

最近搜索

文件列表

  • 01 - Introduction/003 FaceRecognition-Flask-main.zip 462.1 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/002 2-Train-FaceRecognition-with-ML.zip 448.1 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/003 data.zip 135.0 MB
  • 07 - Appendix - Python Crash Course/002 Walk through on Jupyter Notebook.mp4 114.9 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/015 Gender App Page part 4.mp4 104.2 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/014 Gender App Page part 3.mp4 85.4 MB
  • 02 - Image Processing with OpenCV/012 Face Detection.mp4 75.9 MB
  • 05 - Deploy Web App in Heroku Cloud/007 You App Deployed in Heroku.mp4 72.9 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/018 Eigen Mean Face and PCA.mp4 70.0 MB
  • 07 - Appendix - Python Crash Course/008 List.mp4 67.7 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/031 Face Recognition Pipeline part 4.mp4 66.7 MB
  • 02 - Image Processing with OpenCV/013 Working on Videos.mp4 61.3 MB
  • 02 - Image Processing with OpenCV/009 OpenCV Color Space.mp4 61.2 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/009 base.html part-2.mp4 58.9 MB
  • 07 - Appendix - Python Crash Course/004 Escape and Insert keys.mp4 58.6 MB
  • 08 - [Optional] Flask Crash Course/008 Flask Jinja Templates - Part 3.mp4 58.2 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/013 Data Preprocessing Structuring Data Part - 1.mp4 58.1 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/029 Face Recognition Pipeline part 2.mp4 57.1 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/009 Data Preprocess Detect Face with Haar Cascade Classifier.mp4 56.1 MB
  • 08 - [Optional] Flask Crash Course/012 File Upload in Flask.mp4 52.3 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/014 Data Preprocessing Exploratory Data Analysis.mp4 49.5 MB
  • 06 - Deploying in another open-course cloud/001 Deploy Face Recognition Flask app in Railway.app (Free open source).mp4 48.7 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/030 Face Recognition Pipeline part 3.mp4 47.7 MB
  • 02 - Image Processing with OpenCV/008 OpenCV Display Image.mp4 47.7 MB
  • 01 - Introduction/001 Introduction.mp4 47.4 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/034 Predictions part -2.mp4 45.7 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/026 Model Evaluation.mp4 45.5 MB
  • 07 - Appendix - Python Crash Course/012 Dictionaries.mp4 43.8 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/012 Gender App Page.mp4 41.7 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/013 Gender App Page part 2.mp4 40.8 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/032 Face Recognition Pipeline part 5.mp4 40.0 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/016 Data Preprocessing Structure all Images.mp4 39.9 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/019 Eigen Face Get Optimal components for PCA.mp4 38.1 MB
  • 07 - Appendix - Python Crash Course/003 Print Statements.mp4 37.9 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/015 Data Preprocessing Filter Low Resolution Images and Resize images.mp4 37.7 MB
  • 08 - [Optional] Flask Crash Course/007 Flask Jinja Templates - Part 2.mp4 37.3 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/011 Data Preprocess Crop All Faces.mp4 37.0 MB
  • 08 - [Optional] Flask Crash Course/004 Flask Routing.mp4 36.8 MB
  • 02 - Image Processing with OpenCV/011 Image Resizing.mp4 36.7 MB
  • 08 - [Optional] Flask Crash Course/011 Http Methods in Flask.mp4 36.5 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/024 Train Face Recognition Model Part - 3.mp4 36.2 MB
  • 08 - [Optional] Flask Crash Course/010 Static Files ( CSS, JS).mp4 32.0 MB
  • 02 - Image Processing with OpenCV/004 OpenCV Values & Pixels.mp4 30.2 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/012 Data Preprocess Idea of Structuring Images.mp4 29.2 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/020 Eigen Face Save PCA ML model.mp4 27.4 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/035 Predictions part -3.mp4 26.5 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/028 Face Recognition Pipeline part 1.mp4 26.4 MB
  • 08 - [Optional] Flask Crash Course/009 Template Inheritance.mp4 25.8 MB
  • 08 - [Optional] Flask Crash Course/006 Flask Jinja Templates - Part 1.mp4 24.6 MB
  • 02 - Image Processing with OpenCV/002 What is Processing an Image (Information Extraction).mp4 24.6 MB
  • 02 - Image Processing with OpenCV/001 OpenCV & Image.mp4 24.1 MB
  • 08 - [Optional] Flask Crash Course/002 Installing Flask and Visual Studio Code.mp4 23.0 MB
  • 01 - Introduction/002 Face Recognition Project Components.mp4 22.2 MB
  • 02 - Image Processing with OpenCV/007 OpenCV Pixels in Image.mp4 22.1 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/007 views.py and add url rule.mp4 22.0 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/021 Eigen Face Visualize Eigen Face.mp4 21.6 MB
  • 07 - Appendix - Python Crash Course/017 Range & Zip.mp4 21.4 MB
  • 08 - [Optional] Flask Crash Course/003 Your First Flask App.mp4 20.8 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/008 base.html part-1.mp4 20.7 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/023 Train Face Recognition Model - Part 2.mp4 20.4 MB
  • 07 - Appendix - Python Crash Course/015 User Defined Functions.mp4 20.1 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/033 Predictions part -1.mp4 19.1 MB
  • 08 - [Optional] Flask Crash Course/005 URL Building.mp4 19.1 MB
  • 07 - Appendix - Python Crash Course/016 Control Statements (if else).mp4 18.8 MB
  • 05 - Deploy Web App in Heroku Cloud/004 Push code to GitHub.mp4 18.5 MB
  • 05 - Deploy Web App in Heroku Cloud/003 Setup Code for Deployment.mp4 18.5 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/011 App Page.mp4 17.9 MB
  • 07 - Appendix - Python Crash Course/018 For Loop.mp4 16.1 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/010 Data Preprocess Crop Detected Face.mp4 15.6 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/008 Data Preprocess Get List of path of all Images.mp4 15.5 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/003 About Data.mp4 15.4 MB
  • 07 - Appendix - Python Crash Course/009 List Methods.mp4 14.6 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/010 Home page.mp4 14.5 MB
  • 01 - Introduction/006 Create and Install Virtual Environment & Packages.mp4 14.3 MB
  • 05 - Deploy Web App in Heroku Cloud/005 Deploy Flask App.mp4 14.2 MB
  • 07 - Appendix - Python Crash Course/006 Data Types.mp4 13.4 MB
  • 07 - Appendix - Python Crash Course/007 Data Type Casting.mp4 13.0 MB
  • 07 - Appendix - Python Crash Course/010 Tuple.mp4 12.6 MB
  • 06 - Deploying in another open-course cloud/003 5-Flask-app-deploy.zip 11.9 MB
  • 05 - Deploy Web App in Heroku Cloud/001 5-Flask-app-deploy.zip 11.9 MB
  • 07 - Appendix - Python Crash Course/005 Variables & Assignments.mp4 11.8 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/004 Face Recognition Training Flow.mp4 11.2 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/016 Final App.mp4 10.8 MB
  • 06 - Deploying in another open-course cloud/002 Your Final App.mp4 10.8 MB
  • 02 - Image Processing with OpenCV/010 OpenCV Grayscale.mp4 10.0 MB
  • 02 - Image Processing with OpenCV/006 OpenCV Read Image.mp4 9.9 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/006 Data Preprocessing Get Data.mp4 9.7 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/001 Face Recognition Model Introduction.mp4 9.1 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/025 Best Estimator.mp4 8.9 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/005 Data Preprocess Idea of Detect & Crop Face.mp4 7.8 MB
  • 02 - Image Processing with OpenCV/003 1-OpenCV.zip 7.8 MB
  • 07 - Appendix - Python Crash Course/011 Sets.mp4 7.7 MB
  • 07 - Appendix - Python Crash Course/014 plus operator.mp4 7.6 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/004 Folder Structure.mp4 7.6 MB
  • 02 - Image Processing with OpenCV/005 OpenCV Values & Pixels (Another Example).mp4 7.2 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/017 Eigen Face Flow.mp4 7.0 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/003 Install Visual Studio Code.mp4 6.8 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/027 Save Face Recognition Model.mp4 6.8 MB
  • 01 - Introduction/004 Install Python.mp4 6.7 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/006 main.py - basic app.mp4 6.6 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/007 Data Preprocessing Import Required Libraries.mp4 6.3 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/001 4-Flask-App.zip 6.2 MB
  • 07 - Appendix - Python Crash Course/013 in operator.mp4 5.5 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/022 Train Face Recognition Model Part - 1.mp4 5.5 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/002 Face Recognition Web App.mp4 5.1 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/005 main.py (connect to virtual environment).mp4 4.4 MB
  • 05 - Deploy Web App in Heroku Cloud/002 Install Git.mp4 3.6 MB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/002 2-Face-Recognition-model.pptx 3.4 MB
  • 01 - Introduction/005 Clone Face Recognition Template.mp4 3.3 MB
  • 05 - Deploy Web App in Heroku Cloud/001 Getting ready for Deployment.mp4 2.4 MB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/001 3-Web-Application.pptx 1.8 MB
  • 02 - Image Processing with OpenCV/001 1-OpenCV-Crash-Course.pptx 1.5 MB
  • 09 - Extra Tips/002 facerecognitionpdf.zip 1.3 MB
  • 01 - Introduction/007 Next step.mp4 759.9 kB
  • 08 - [Optional] Flask Crash Course/002 Module-3.zip 421.0 kB
  • 05 - Deploy Web App in Heroku Cloud/001 4-Deploy.pptx 254.5 kB
  • 07 - Appendix - Python Crash Course/002 Walk through on Jupyter Notebook_en.srt 27.4 kB
  • 07 - Appendix - Python Crash Course/008 List_en.srt 22.5 kB
  • 08 - [Optional] Flask Crash Course/012 File Upload in Flask_en.srt 20.9 kB
  • 08 - [Optional] Flask Crash Course/008 Flask Jinja Templates - Part 3_en.srt 18.3 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/009 base.html part-2_en.srt 17.0 kB
  • 02 - Image Processing with OpenCV/012 Face Detection_en.srt 16.7 kB
  • 08 - [Optional] Flask Crash Course/011 Http Methods in Flask_en.srt 16.0 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/018 Eigen Mean Face and PCA_en.srt 15.4 kB
  • 08 - [Optional] Flask Crash Course/007 Flask Jinja Templates - Part 2_en.srt 15.1 kB
  • 02 - Image Processing with OpenCV/011 Image Resizing_en.srt 14.9 kB
  • 07 - Appendix - Python Crash Course/019 Python Reference.html 14.4 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/015 Gender App Page part 4_en.srt 14.2 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/014 Data Preprocessing Exploratory Data Analysis_en.srt 14.0 kB
  • 07 - Appendix - Python Crash Course/012 Dictionaries_en.srt 13.9 kB
  • 07 - Appendix - Python Crash Course/004 Escape and Insert keys_en.srt 13.9 kB
  • 08 - [Optional] Flask Crash Course/009 Template Inheritance_en.srt 13.4 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/012 Gender App Page_en.srt 13.1 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/013 Data Preprocessing Structuring Data Part - 1_en.srt 13.0 kB
  • 08 - [Optional] Flask Crash Course/010 Static Files ( CSS, JS)_en.srt 12.8 kB
  • 05 - Deploy Web App in Heroku Cloud/007 You App Deployed in Heroku_en.srt 12.4 kB
  • 02 - Image Processing with OpenCV/009 OpenCV Color Space_en.srt 11.9 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/014 Gender App Page part 3_en.srt 11.8 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/013 Gender App Page part 2_en.srt 11.5 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/031 Face Recognition Pipeline part 4_en.srt 11.4 kB
  • 07 - Appendix - Python Crash Course/015 User Defined Functions_en.srt 11.4 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/019 Eigen Face Get Optimal components for PCA_en.srt 11.3 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/011 Data Preprocess Crop All Faces_en.srt 11.1 kB
  • 06 - Deploying in another open-course cloud/001 Deploy Face Recognition Flask app in Railway.app (Free open source)_en.srt 10.8 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/026 Model Evaluation_en.srt 10.7 kB
  • 02 - Image Processing with OpenCV/008 OpenCV Display Image_en.srt 10.3 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/009 Data Preprocess Detect Face with Haar Cascade Classifier_en.srt 10.2 kB
  • 07 - Appendix - Python Crash Course/001 Python.zip 10.2 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/015 Data Preprocessing Filter Low Resolution Images and Resize images_en.srt 10.0 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/035 Predictions part -3_en.srt 9.9 kB
  • 07 - Appendix - Python Crash Course/003 Print Statements_en.srt 9.8 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/016 Data Preprocessing Structure all Images_en.srt 9.7 kB
  • 07 - Appendix - Python Crash Course/016 Control Statements (if else)_en.srt 9.6 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/030 Face Recognition Pipeline part 3_en.srt 9.4 kB
  • 05 - Deploy Web App in Heroku Cloud/005 Deploy Flask App_en.srt 9.2 kB
  • 02 - Image Processing with OpenCV/013 Working on Videos_en.srt 8.8 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/029 Face Recognition Pipeline part 2_en.srt 8.7 kB
  • 07 - Appendix - Python Crash Course/009 List Methods_en.srt 8.5 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/024 Train Face Recognition Model Part - 3_en.srt 8.4 kB
  • 05 - Deploy Web App in Heroku Cloud/003 Setup Code for Deployment_en.srt 8.1 kB
  • 08 - [Optional] Flask Crash Course/006 Flask Jinja Templates - Part 1_en.srt 7.9 kB
  • 08 - [Optional] Flask Crash Course/005 URL Building_en.srt 7.8 kB
  • 02 - Image Processing with OpenCV/004 OpenCV Values & Pixels_en.srt 7.7 kB
  • 08 - [Optional] Flask Crash Course/002 Installing Flask and Visual Studio Code_en.srt 7.6 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/034 Predictions part -2_en.srt 7.5 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/008 base.html part-1_en.srt 7.4 kB
  • 02 - Image Processing with OpenCV/002 What is Processing an Image (Information Extraction)_en.srt 7.2 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/020 Eigen Face Save PCA ML model_en.srt 7.1 kB
  • 07 - Appendix - Python Crash Course/010 Tuple_en.srt 7.0 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/011 App Page_en.srt 7.0 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/032 Face Recognition Pipeline part 5_en.srt 7.0 kB
  • 07 - Appendix - Python Crash Course/018 For Loop_en.srt 6.7 kB
  • 08 - [Optional] Flask Crash Course/004 Flask Routing_en.srt 6.7 kB
  • 05 - Deploy Web App in Heroku Cloud/004 Push code to GitHub_en.srt 6.6 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/033 Predictions part -1_en.srt 6.4 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/028 Face Recognition Pipeline part 1_en.srt 6.3 kB
  • 07 - Appendix - Python Crash Course/017 Range & Zip_en.srt 6.3 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/021 Eigen Face Visualize Eigen Face_en.srt 6.0 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/012 Data Preprocess Idea of Structuring Images_en.srt 5.9 kB
  • 07 - Appendix - Python Crash Course/007 Data Type Casting_en.srt 5.9 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/004 Folder Structure_en.srt 5.8 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/010 Home page_en.srt 5.3 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/023 Train Face Recognition Model - Part 2_en.srt 5.2 kB
  • 02 - Image Processing with OpenCV/001 OpenCV & Image_en.srt 5.1 kB
  • 07 - Appendix - Python Crash Course/011 Sets_en.srt 4.9 kB
  • 02 - Image Processing with OpenCV/006 OpenCV Read Image_en.srt 4.9 kB
  • 06 - Deploying in another open-course cloud/002 Your Final App_en.srt 4.8 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/002 Face Recognition Web App_en.srt 4.7 kB
  • 01 - Introduction/006 Create and Install Virtual Environment & Packages_en.srt 4.7 kB
  • 08 - [Optional] Flask Crash Course/003 Your First Flask App_en.srt 4.3 kB
  • 02 - Image Processing with OpenCV/007 OpenCV Pixels in Image_en.srt 4.1 kB
  • 07 - Appendix - Python Crash Course/014 plus operator_en.srt 4.1 kB
  • 07 - Appendix - Python Crash Course/013 in operator_en.srt 4.0 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/004 Face Recognition Training Flow_en.srt 3.8 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/007 views.py and add url rule_en.srt 3.8 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/006 main.py - basic app_en.srt 3.6 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/022 Train Face Recognition Model Part - 1_en.srt 3.6 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/003 About Data_en.srt 3.5 kB
  • 01 - Introduction/001 Introduction_en.srt 3.4 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/008 Data Preprocess Get List of path of all Images_en.srt 3.4 kB
  • 07 - Appendix - Python Crash Course/005 Variables & Assignments_en.srt 3.4 kB
  • 02 - Image Processing with OpenCV/005 OpenCV Values & Pixels (Another Example)_en.srt 3.3 kB
  • 07 - Appendix - Python Crash Course/006 Data Types_en.srt 3.2 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/003 Install Visual Studio Code_en.srt 3.1 kB
  • 01 - Introduction/004 Install Python_en.srt 3.0 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/005 Data Preprocess Idea of Detect & Crop Face_en.srt 2.9 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/005 main.py (connect to virtual environment)_en.srt 2.9 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/001 Face Recognition Model Introduction_en.srt 2.8 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/010 Data Preprocess Crop Detected Face_en.srt 2.7 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/025 Best Estimator_en.srt 2.7 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/007 Data Preprocessing Import Required Libraries_en.srt 2.4 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/027 Save Face Recognition Model_en.srt 2.4 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/006 Data Preprocessing Get Data_en.srt 2.3 kB
  • 05 - Deploy Web App in Heroku Cloud/001 Getting ready for Deployment_en.srt 2.2 kB
  • 01 - Introduction/002 Face Recognition Project Components_en.srt 2.2 kB
  • 02 - Image Processing with OpenCV/010 OpenCV Grayscale_en.srt 2.1 kB
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/016 Final App_en.srt 1.9 kB
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/017 Eigen Face Flow_en.srt 1.9 kB
  • 09 - Extra Tips/001 Connect Python Environment to Virtual Environment in Visual Studio Code.html 1.8 kB
  • 08 - [Optional] Flask Crash Course/001 Introduction.html 1.6 kB
  • 09 - Extra Tips/002 Reference Books and PDFs.html 1.5 kB
  • 05 - Deploy Web App in Heroku Cloud/006 Heroku is not free tier anymore.html 1.2 kB
  • 05 - Deploy Web App in Heroku Cloud/002 Install Git_en.srt 1.2 kB
  • 01 - Introduction/005 Clone Face Recognition Template_en.srt 1.0 kB
  • 10 - Bonus Lecture/001 Bonus Lecture Next Steps.html 677 Bytes
  • 01 - Introduction/003 Download all Resourses.html 422 Bytes
  • 01 - Introduction/007 Next step_en.srt 361 Bytes
  • 0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 02 - Image Processing with OpenCV/0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 06 - Deploying in another open-course cloud/0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 09 - Extra Tips/0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • 02 - Image Processing with OpenCV/0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • 06 - Deploying in another open-course cloud/0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • 09 - Extra Tips/0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • 01 - Introduction/external-links.txt 86 Bytes
  • 01 - Introduction/005 Clone-Repository.url 84 Bytes
  • 03 - Develop Face Recognition Model with Machine Learning from Scratch/002 Download Resources.html 83 Bytes
  • 07 - Appendix - Python Crash Course/001 Download the Resources.html 81 Bytes
  • 05 - Deploy Web App in Heroku Cloud/external-links.txt 75 Bytes
  • 05 - Deploy Web App in Heroku Cloud/004 GitHub-Repository.url 72 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 02 - Image Processing with OpenCV/0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 06 - Deploying in another open-course cloud/0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 09 - Extra Tips/0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 02 - Image Processing with OpenCV/003 Download Resources.html 43 Bytes
  • 04 - Face Recognition Project (Integrating HTML Model to Flask App)/001 Download Resources.html 36 Bytes
  • 06 - Deploying in another open-course cloud/003 Download Final App.html 35 Bytes

温馨提示

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！