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iOS App Development: Core ML

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iOS App Development: Core ML
Duration: 1:40:07 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz, 2 Ch | 1.2 GB
Genre: eLearning | Language: English | Skill Level: Intermediate

With iOS 11 and macOS High Sierra, Apple introduced the Core ML framework. This put the integration of machine learning within the grasp of Apple developers, and ushered in a host of new opportunities for developers to come up with the next big thing or enhance the quality of their mobile and desktop applications. This course provides an introduction to the Core ML framework, and the advantages of using machine learning models, computer vision, and natural language processing in modern apps. Learn about different features and use cases for the Core ML and Vision frameworks, as well as the natural language processing classes. Plus, the course walks through the development of sample apps that leverage different machine learning features.

Topics include:
What are machine learning, Core ML, Vision, and NLP?Adding a machine learning model to a projectGetting predictions from machine learning modelsConverting existing machine learning models for Core MLClassifying images and detecting objects with Vision and Core MLAnalyzing natural language text with NSLinguisticTagger

iOS App Development: Core ML

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  1. iOS苹果开发:Core ML 在iOS 11和macOS High Sierra中,Apple推出了Core ML框架。这将机器学习呈现在苹果开发人员的棉签,为开发者在抓住这个接下来的大事件或为提高他们移动和桌面应用程序质量都带来了巨大的基于。本教程是对Core ML框架、使用机器学习模型的优势、计算机视觉以及在现代app中的自然语言处理的入门性教程。了解不同的功能以及使用Core ML和视觉框架,再加上自然语言处理。另外,教程还会带你进入一个利用不同机器学习功能开发演示应用的过程。 主要内容: • 何为机器学习、Core ML、视觉和NLP • 将机器学习模型添加到项目中 • 从机器学习模型获得预测 • 转换已有机器学习模型用于Core ML • 图片和通过Vision以及Core ML进行图片分类和检测 使用NSLinguisticTagger分析自然语言文本
    wilde(特殊组-翻译)2个月前 (11-16)