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Beginning Machine Learning in the Browser Quick-start Guide to Gait Analysis with ... - ebooks1001 - 09-15-2024
![[Image: e6ee06f5277642a05072f5763d4d2f84.webp]](https://i124.fastpic.org/big/2024/0915/84/e6ee06f5277642a05072f5763d4d2f84.webp)
Free Download Nagender Kumar Suryadevara, "Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js"
English | ISBN: 1484268423 | 2021 | 196 pages | AZW3 | 7 MB
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.
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