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所在平台: Udemy |
课程主页: https://www.udemy.com/course/create-your-own-ai-virtual-assistant-using-javascript/
课程评论：没有评论
**课程名称：使用 JavaScript 创建你自己的 AI 虚拟助手** **课程概述：** 本课程旨在教授学员如何使用 JavaScript、Speech Recognition API 和 Annyang 库来创建基于 Web 的智能虚拟助手。 **学习内容：** * **JavaScript 基础：** * 基本 JavaScript 代码和函数 * 事件和事件处理器 * 在 HTML 网页中插入 JavaScript 代码（包括 CSS） * 链接外部 JavaScript 文件到网页 * **AI 虚拟助手开发：** * 利用 JavaScript Speech Recognition API 实现语音识别 * 使用 Annyang 库增强语音命令功能 * 利用 Speech Synthesis 引擎实现语音合成 * **Web 开发与调试：** * 使用 HTML、CSS 和 JavaScript 创建支持语音识别和语音合成的 Web 界面 * 利用控制台窗口输出结果和进行调试 * 设置本地 Chrome Web 服务器运行项目 * **高级主题（可选）：** * 创建多语言智能虚拟助手 * **附加内容：** 使用 TensorFlow.js 和机器学习预训练模型实现语音识别 **课程特色：** * 侧重于使用纯 HTML、CSS 和 JavaScript 进行开发。 * 提供实用的资源，提升学习体验。 * 帮助学员建立信心，独立完成个人项目。 **适合人群：** 希望学习如何使用 JavaScript 和 Web 技术创建 AI 虚拟助手的初学者和开发者。
Firstly, students will be given an introduction to some basic Javascript codes and functions, event and event handlers. Also, how to insert javascript codes in a web HTML page including CSS. They will learn how to link external Javascript file to a web page. This course was created to equip students with the basic concepts of creating an Intelligent Virtual Assistant using Javascript Speech Recognition API and Annyang library. Speech Recognition and Speech Synthesis engine will be used to help students along their path to create a web based AI Virtual Assistant. Learners will be using only HTML, CSS and Javascript codes to create a web interface enabled with Speech Recognition and Speech Synthesis. The console window will also be used to output some results and how to interpret them when creating web applications. Students will also learn how to setup the local Chrome web server to run their project. They will also learn how to use the console window to debug web application while creating their AI Virtual Assistant. Moreover, students will learn how to create a multi-language intelligent Virtual Assistant. As bonus section, Speech Recognition using machine learning pre-trained models will also be introduced. In this section learners will be given demonstration using Tensorflow.JS to create their own AI Virtual Assistant using machine learning models. The course contains useful resources to improve learning experiences and to be confident to create their own personal project.
