| 期刊全稱 | Beginning Machine Learning in the Browser | | 期刊簡(jiǎn)稱 | Quick-start Guide to | | 影響因子2023 | Nagender Kumar Suryadevara | | 視頻video | http://file.papertrans.cn/183/182423/182423.mp4 | | 發(fā)行地址 | Perform human gait analysis with TensorFlow.JS ML and Processing (P5) libraries.Build a solid foundation in machine learning with the ubiquitous JavaScript language.Train and deploy ML models in the b | | 圖書(shū)封面 |  | | 影響因子 | .Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental coding ideas.? ..Using JavaScript programming features along with standard libraries, you‘ll first learn to design and develop interactive graphics applications. Then move further into neural systems and human pose estimation strategies. For training and deploying your ML models in the browser, TensorFlow.js libraries will be emphasized...After conquering the fundamentals, you‘ll dig into the wilderness of ML. Employ the ML and Processing (P5) libraries for Human Gait analysis. Building up Gait recognition with themes, you‘ll come to understand a variety of MLimplementation issues. For example, you’ll learn about the classification of normal and abnormal Gait patterns. ..With. Beginning Machine Learning in the Browser., you’ll be on your way to becoming an experienced Machine L | | Pindex | Book 2021 |
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