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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mlkit-android-programlama/
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课程名称：使用谷歌机器学习进行Android应用开发 [2024] 概述：本课程致力于通过谷歌机器学习技术（Google ML Kit）编程开发移动应用。随着移动应用的快速发展，人工智能和机器学习技术的重要性与日俱增，为用户提供更丰富、更智能的体验。谷歌机器学习工具包（ML Kit）是一个强大的工具，提供一系列可集成到移动应用中的机器学习API。机器学习技术在各个行业的广泛应用，特别是在计算机视觉方面，已显著改变了我们与数据互动和分析的方式。本课程将介绍如何利用ML Kit开发各种机器学习项目，帮助学员在全球最受欢迎的软件领域——Android开发中，激发创意并实现应用开发。 学员将学到如何使用ML Kit创建各种机器学习驱动的计算机视觉应用，包括识别图像中的文本、面部检测、姿势识别、条形码扫描和物体检测等。这些功能在零售、医疗、物流等领域有着广泛应用。本课程还将提供设计指导，使学员能够制作专业的应用界面，并通过不同的库增强应用的功能。 本视频教程将全面探讨使用谷歌ML Kit的机器学习技术的实际应用，允许学员无需具备复杂算法和模型的深厚知识就能实现最新的机器学习技术。在课程中，学员将掌握如何使用各种库（如相机、AlertDialog和进度条）开发通过ML Kit和Firebase实现的应用程序，包括： - 从相机获取的图像中检测文本并打印 - 在接收的图像中检测面部并使用自定义绘图类进行标记 - 通过图库或相机绘制人类姿态 - 打印身体各部位（如手臂和膝盖）的角度 - 读取多种条形码并根据条形码类型做出反应 - 将捕获的图像排序并通知可能的分类概率 - 追踪对象 讲师介绍：Ibrahim Can Erdogan，来自巴厘克西尔大学工业工程专业（2022年毕业）。他在Java和Kotlin中开发高级Android应用程序，并继续在Android领域工作。他对区块链技术也很感兴趣，现正于ebebek担任Android软件开发专家，致力于学习新知识并尽力应用到实际中。 本课程适合希望在Android应用开发中融入机器学习技术的学习者，全面提升技术能力与创新意识。
Program with Machine Learning Technology with Google ML Kit!With the rapid development of mobile applications today, artificial intelligence and machine learning technologies have gained great importance. These technologies play an important role in providing users with a richer and smarter experience. This is where the Google ML Kit library comes into play. Google ML Kit is a powerful tool that provides a set of machine learning APIs that can be integrated into mobile apps.In today's digital world, machine learning technologies have become increasingly prevalent across various industries and have revolutionized the way we interact with and analyze data. One area where machine learning has made significant advances is in computer vision, enabling powerful applications such as text recognition, face detection, pose detection, barcode scanning and object detection. These applications have found extensive use cases in areas such as retail, healthcare, logistics and more.You can develop various projects using machine learning, which is seen as the technology of the future in the field of android, one of the most popular software fields in the world. You can make these developments with Google support. ML Kit is an SDK created by Google to enable the use of machine learning capabilities in mobile applications with a powerful and easy-to-implement package structure. While this SDK allows us to prepare various projects, on the other hand, we will make designs that will add a professional look to our programs and strengthen these designs with various libraries. On the other hand, android applications made with MLKit can be prepared in different ways that go to extremes with your imagination. These applications can make life easier for others in daily life or you will be able to update these applications to make your daily life easier.In this comprehensive video tutorial, we explore the fascinating world of machine learning-powered computer vision applications using the Google ML Kit library. Developed by Google, ML Kit provides a user-friendly and accessible platform for implementing the latest machine learning technologies without the need for extensive knowledge of complex algorithms and models.Throughout this toolkit, we will explore various practical applications of machine learning technologies using ML Kit. From recognizing and extracting text from images to detecting faces, identifying poses, scanning barcodes, and recognizing objects, we will cover a wide range of applications that demonstrate the power and versatility of ML Kit.Machine Learning Based Applications with Libraries such as Various Camera, AlertDialog, Progress Bar that we will make in our course using Google MLKit and Firebase are as follows; Printing the text detected from the image received from the camera in our application, Detecting the faces in the received image and marking them in the way I want with the drawing classes we have determined, Drawing the real human body posture position in the image received from the camera or through the gallery on the body with the features we want with the drawing class we have determined, Android Applications that Print Arm and Knee Angles on the Body, Read Various Barcodes and React According to the Barcode Type and Notify the User When the Barcode is Not Found, Sort the Captured Image into Classes and Notify Us of the Probability of Belonging to the Classes and Track ObjectsInstructorHello Dear,I am Ibrahim Can Erdogan, graduated from Balikesir University Industrial Engineering Department in 2022. I develop advanced Android applications with Java and Kotlin. I continue my work in the Android field. I am also interested in Blockchain technology. I am currently developing Android applications with Kotlin. In my career, I have done internships in Turkey's leading companies such as Yapı Kredi, QNB Finansbank, Ebebek and LOGO Software. As a Software Development Specialist at LOGO Software, I contributed to the development of Android applications. I am currently working as an Android Software Development Specialist in ebebek. I am trying to learn new information and use what I have learned. With my determination and ambition, I always try to reach the better and always do my best.Thank You
