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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-face-recognition-app-machine-learning-django-heroku/
课程评论：没有评论
课程名称：在AWS上部署Django和AI ML人脸识别网页应用 课程概述：欢迎参加此AI和ML爱好者课程：使用Django、机器学习和云部署在AWS上构建人脸识别网页应用！在这段激动人心的旅程中，我们将深入探讨人工智能领域，特别是计算机视觉和人脸识别。本课程旨在指导您完成一个端到端项目的整个开发过程，适合所有机器学习和网页开发爱好者。 课程阶段： 第一阶段：机器学习 - 人脸身份识别 - 使用OpenCV进行图像处理技术 - 课程先决条件：Python安装与库设置 - 使用OpenCV和深度神经网络进行人脸检测 - 使用深度神经网络进行特征提取 - 训练机器学习模型：逻辑回归、支持向量机、随机森林 - 使用投票分类器（堆叠方法）组合模型 - 人脸识别模型选择与超参数调优 第二阶段：机器学习 - 面部情感识别 - 应用来自人脸身份识别的机器学习技术 - 将检测与识别模型整合为一个管道 第三阶段：Django网页应用开发 - 进行Django的网页应用开发 - 使用HTML、CSS和Bootstrap进行前端渲染 - 使用MVT（模型、视图和模板）框架进行后端开发 - 设计Django应用的SQLite数据库 - 将机器学习管道模型与MVT框架接口 - 使用Bootstrap为应用进行样式设计 第四阶段：在AWS云上的部署/生产 - 在AWS Elastic Beanstalk上部署Django网页应用 - 利用AWS免费套餐进行为期12个月的体验 - 通过提供的URL/域名全球访问应用 - 部署过程中故障排除与错误解决 课程亮点： - 深入学习使用OpenCV进行图像处理 - 训练人脸识别与面部情感识别模型 - 使用MVT框架进行Django网页应用开发 - 将机器学习模型集成到网页应用中 - 在AWS Elastic Beanstalk上部署，重点关注AWS免费套餐 如果您渴望成为AI开发者，这门课程是掌握AI和ML概念并获得实践经验的理想途径。不要错过，立即开始您的学习之旅吧！期待在课程中见到你！
Welcome to the AI and ML Enthusiast Course: Building a Face Recognition Web App with Django, Machine Learning, and Cloud Deployment on AWS!Embark on an exciting journey into Artificial Intelligence as we delve into the realms of Computer Vision and Face Recognition within the expansive field of AI and ML. This course is designed to guide you through the entire development process of an end-to-end project, catering to both machine learning and web development enthusiasts.Course Phases:Phase 1: Machine Learning - Face Identity RecognitionImage processing techniques with OpenCVPrerequisites of the course: Python installation and library setupFace Detection using OpenCV and Deep Neural NetworksFeature extraction using deep neural networksTraining machine learning models: logistic regression, support vector machines, random forestCombining models with a Voting Classifier (stacking method)Model selection and hyperparameter tuning for face recognitionPhase 2: Machine Learning - Facial Emotion RecognitionApplication of machine learning techniques from face identity recognitionIntegration of detection and recognition models into a pipelinePhase 3: Django Web App DevelopmentWeb application development in DjangoRendering HTML, CSS, and Bootstrap for the frontendBackend development in Python using the MVT (Models, Views, and Templates) frameworkDesigning a SQLite database for the Django appInterfacing machine learning pipeline models with the MVT frameworkStyling the app using BootstrapPhase 4: Deployment / Production on AWS CloudDeployment of the Django Web App on AWS Elastic BeanstalkUtilizing the AWS Free Tier for 12 monthsAccessing the app globally through a provided URL/domainTroubleshooting and error resolution during deploymentCourse Highlights:In-depth learning of OpenCV for image processingTraining models for Face Recognition and Facial Emotion RecognitionDjango web app development with MVT frameworkIntegration of machine learning models into the web appDeployment on AWS Elastic Beanstalk with a focus on the AWS Free TierIf you aspire to be an AI developer, this course is your gateway to mastering AI and ML concepts while gaining hands-on experience. Don't miss out - start your journey now!See you inside the course!
