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所在平台: Udemy |
课程主页: https://www.udemy.com/course/real-time-pornography-censorship-using-tf2-object-detection/
课程评论：没有评论
课程名称：使用 TensorFlow 2 和 WebRTC 进行实时色情内容审查 您是否对人工智能（AI）的飞速发展感到好奇？该课程将带您进入 TensorFlow 对象检测这一强大的 AI 技术领域。您将学习如何利用图像处理能力让您的计算机和设备识别物体。 **课程亮点：** * **从零开始学习：** 即使您是初学者，课程也将指导您完成所有必要的准备工作，包括安装所需工具。 * **掌握核心技术：** 您将学习如何收集和预处理数据集，进行图像标注，并使用 TensorFlow 2 框架的迁移学习方法训练模型。 * **构建实用应用：** 课程将重点教授如何实现在线实时对象检测，并在 Web 应用中进行色情内容审查。 * **全站解决方案：** 通过结合 TensorFlow.js、Node.js 和 WebRTC 框架，您将学会构建能够审查图像、视频、直播流以及视频通话/会议中色情内容的应用程序。 **学习收获：** 完成本课程后，您将能够将 TensorFlow 对象检测技术成功应用于各种应用程序和场景。
Tensorflow Object Detection is one of many Artificial Intelligence (AI) technology that grow rapidly in recent years. Its abilities gives our computer and devices the capability to recognize objects with image processing method. It has been so popular recently and has various usages in our daily lives. For example, object detection is often used in robotics, health care, military, game and other modern tools. However, it's quite challenging to successfully implement this technology as so much miscalculation might occur. One single mistake can jeopardize the whole processes, which is tiring and time consuming. Beginners that attempt this challenge usually find themselves lost in nowhere even with so many references (whether from books, journals, internet) out there. Supposedly, that's the reason why this course is created, which is to help anyone taking the path to this awesome technology. Inside, learners will learn:Preparations needed in order to successfully Installing necessary toolsMethods to Collect DatasetDataset Pre-ProcessingImage AnnotationTrain dataset using Transfer Learning method of TensorFlow 2 frameworkOnline Real-Time Object Detection on Web App to censor pornography contentsCombining TensorFlowJS, NodeJS, & WebRTC frameworks to build apps capable of censoring pornography on image, video, livestreaming and video call/conferenceBy the end of this course, students should be able implementing tensorflofw object detection on various apps and purposes.
