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所在平台: Udemy |
课程主页: https://www.udemy.com/course/regression-in-angular-using-tensorflowjs/
课程评论：没有评论
**课程名称：** Angular 结合 TensorFlow.js 进行回归分析 **课程概述：** 本课程将指导您如何使用 Angular 框架和 TensorFlow.js 库来构建机器学习回归模型。您将有机会与一个 AI 助手进行互动，该助手将全程支持您的学习旅程，回答您的问题并提供对话式的反馈。 **核心内容：** * **回归分析基础：** 尽管课程重点关注线性模型，但您也会了解到将模型切换到非线性模型（如深度学习）在 TensorFlow.js 中是多么容易，只需更改一个参数。 * **TensorFlow.js 的强大之处：** 深入理解 TensorFlow.js 如何借助张量（tensors）的力量，实现从简单模型到复杂模型的构建，并且其 API 风格保持一致，提供强大的“魔法”体验。 * **Angular 框架介绍：** 了解 Angular 作为 Google 开发的前端框架，如何利用 TypeScript 创建用户界面，并将其与 TensorFlow.js 结合，实现无需发送数据到服务器的本地机器学习模型构建。Angular 提供了“自带电池”的丰富功能，包括 Angular Universal，方便处理服务器端渲染。 * **TensorFlow.js 与 Python TensorFlow 的联系：** 探讨 TensorFlow.js 作为 JavaScript 版 TensorFlow 的优势，以及两者在模型转换和 API 风格上的相似性。 * **实践项目：** 通过实际操作，构建一个使用 TensorFlow.js 和 Angular 的线性回归模型。 **学习目标：** * 掌握在 Angular 项目中集成 TensorFlow.js 的方法。 * 理解和实现机器学习中的回归模型。 * 了解 Angular 框架的基本概念和优势。 * 体验与 AI 助手的互动学习方式。 **补充资源：** * GitBook * GitHub * 相关文章 **特别说明：** 您无需购买课程即可体验 AI 助手的交互功能。课程内容正在根据学生反馈进行升级，并会添加更多资源。
Feature: this course uses an AI-assistant that you will support all the time. It is a talking assistant, you make your questions and it will reply back, a good conversation! You do not neet to buy the course to see how the assistant works.=Data Science is all about finding information/knowledge from datasets. One very powerful approach is using linear/nonlinear models, called regression; we are not going to see logistic regression on this course, see my other course "Machine learning in Angular". Linear models, the example we are going to work on, even though they are limited, they still can delivery something if the datasets have a linear tendency. In TensorFlow.js, shifting to nonlinear models is as easy as changing a single parameter; that is all.TensorFlow.js makes it possible to build simple models to complex ones (e.g., deep learning) using the same notation, it is magic! It is possible thanks to how TensorFlow.js was build, and the power of tensor, where TensorFlow.js is build on.On this course, we use Angular as framework, coding environment, and TensorFlow.js as the library for creating a machine learning based regression model.What is Angular??Angular is a framework, designed by the Google Team, and it has been widely used to design sites. Essentially, it is a framework to create frontends, based on TypeScript. In layman's terms: the page you see and interact on your web browser. It is perfect to be used alongside TensorFlow.js for offering also the advantage of not sending information to the server: you can build everything with Angular, they even have their own server call Angular Universal. As they like to say, Angular comes with batteries.What is TensoFlow.js??TensorFlow.js is a JavaScript-based library for deep learning, based on the classical TensorFlow, written in Python; you can also do simple learning machine, some simple mathematical operations with tensors and so on. There are several reasons for using TensorFlow.js instead of Python, and I hope to come back to that in the future.A nice point, it is possible to transform models in both directions: TensorFlow.js TensorFlow. Even their notations are alike.We are going to build a linear regression model using TensorFlow.js in Angular. We are also going to learn about machine learning, and Angular!External resource- GitBook- GitHub- ArticlesUpdate 18/08/23. in response to student feedback, I am upgrading the course, adding more resources.
