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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-machine-learning-advanced-course-teachable-machine/
课程评论：没有评论
课程名称：使用 Google Teachable Machine 的机器学习项目 概述：本课程旨在为初学者提供一个实践-oriented 的机器学习项目，帮助学员在无需深入编程知识的情况下，快速创建、训练和部署机器学习模型。 课程描述： 欢迎参加“使用 Google Teachable Machine 的机器学习项目”课程！这是一个面向初学者的实践课程，旨在向您介绍机器学习的精彩世界。在这个课程中，您将学习如何使用 Google 的 Teachable Machine 平台，轻松快速地构建机器学习模型。 Teachable Machine 是一个用户友好的网络工具，使机器学习变得易于实验，适合学生、教育工作者、开发者以及爱好者。通过这个平台，您可以在几步之内构建用于图像、声音和姿势识别的 AI 模型。 如果您正在寻找一个适合初学者且不需要深入编码的机器学习项目，那么您来对地方了。本课程将一步一步引导您使用 Teachable Machine 平台构建一个实用且强大的机器学习项目。 课程重点围绕真实世界应用，您将创建一个涉及图像分类、声音识别和姿势检测的机器学习项目。Teachable Machine 允许您快速且可视化地训练模型，我们还将探索如何将您的机器学习项目集成到网站和应用程序中。 无论您是学生、教师、开发者，还是爱好者，本课程都将帮助您以最简单而有效的方式开始机器学习项目的旅程。 为什么选择这门课程？ - 适合初学者的机器学习项目 - 无需先前的机器学习或编码经验 - 采用真实案例的可视化互动训练 - 容易导出和部署您的机器学习项目 您将学习到的内容： - 机器学习介绍：了解机器学习的基本概念，以及 Teachable Machine 如何简化这一过程。 - 设置 Teachable Machine：学习如何访问和导航该平台。 - 数据收集与训练：创建自定义数据集，通过上传图像、声音或姿势示例高效训练模型。 - 模型测试与评估：测试您训练模型的性能，并进行改进以提高准确性。 - 导出与部署：将您的机器学习模型部署到网站、应用程序或独立系统中。 - 真实世界应用：探索手势控制应用、声音识别系统和图像分类项目等多种用例。 通过本课程，您将全面了解如何使用 Teachable Machine 创建创新的机器学习项目，并获得一个自己的项目，准备展示给同事、雇主或客户！今天就加入我们，开始您的机器学习之旅吧！
Build Machine Learning Project with Teachable Machine Easy Machine Learning Project Real Machine Learning ProjectCourse Description:Welcome to "Machine Learning Project Using: Teachable Machine", a beginner-friendly and practical course designed to introduce you to the exciting world of machine learning without requiring extensive programming knowledge! In this course, you'll learn to create, train, and deploy machine learning models quickly and effectively using Google's Teachable Machine platform.Teachable Machine is a user-friendly web-based tool that simplifies machine learning, making it accessible to everyone, from students and educators to developers and hobbyists. With this platform, you can build AI models for image, sound, and pose recognition in just a few steps!If you're looking for a Machine Learning Project that's beginner-friendly and doesn't require deep coding knowledge, you've come to the right place. This course will guide you step-by-step in building a practical and powerful Machine Learning Project using the Teachable Machine platform.With a focus on real-world applications, you'll create a Machine Learning Project involving image classification, sound recognition, and pose detection. Teachable Machine allows you to train models quickly and visually, and we'll explore how to integrate your Machine Learning Project into websites and apps.Whether you're a student, teacher, developer, or hobbyist, this course will help you start your journey into Machine Learning Projects in the most simple yet powerful way. Why Take This Course?It's a beginner-friendly approach to Machine Learning ProjectsNo prior ML or coding experience neededVisual and interactive training with real use-casesExport and deploy your Machine Learning Project easilyWhat You'll Learn:Introduction to Machine Learning: Understand the basics of machine learning and how Teachable Machine simplifies the process.Setting Up Teachable Machine: Learn how to access and navigate the platform.Data Collection and Training: Create custom datasets by uploading images, sounds, or pose examples and train your model efficiently.Model Testing and Evaluation: Test your trained model's performance and refine it for improved accuracy.Exporting and Deployment: Deploy your machine learning models in various applications such as websites, apps, or standalone systems.Real-World Applications: Explore diverse use cases like gesture-controlled apps, sound recognition systems, and image classification projects.By the end of this course, you'll have a complete understanding of how to use Teachable Machine to create innovative machine learning projects. You'll also walk away with your very own project, ready to showcase to peers, employers, or clients!Join us today and start your machine learning journey with Teachable Machine!
