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Titlebook: Neural Networks for Electronics Hobbyists; A Non-Technical Proj Richard McKeon Book 2018 Richard McKeon 2018 Neural Networks.Artificial Int

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發(fā)表于 2025-3-21 18:05:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Neural Networks for Electronics Hobbyists
副標(biāo)題A Non-Technical Proj
編輯Richard McKeon
視頻videohttp://file.papertrans.cn/664/663716/663716.mp4
概述Learn through a hardware-based approach to neural networks versus implementing a network in software.No technical background or programming skills are required.The in-book project is made from inexpen
圖書封面Titlebook: Neural Networks for Electronics Hobbyists; A Non-Technical Proj Richard McKeon Book 2018 Richard McKeon 2018 Neural Networks.Artificial Int
描述Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you‘ll build an electronics project, providing a hands-on experience in training a network.?.There are no prerequisites here and you won‘t see a single line of computer code in this book. Instead, it?takes a hardware approach using very simple electronic components.?You‘ll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project.?The project isn‘t complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network.?.By the end of this book, you‘ll be able to take what you‘ve learned and apply it to your own projects.?If you like to tinker around with components and build circuits on a breadboard,?.Neural Networks for Electronics Hobbyists. is the book for you.?.What You‘ll Learn.Gain a practical introduction to neural networks.Review techniques for training networks with electrical hardware and supervised learning.Understand how parallel processing differs from standard sequential programming.Who This Book Is For.Anyone
出版日期Book 2018
關(guān)鍵詞Neural Networks; Artificial Intelligence; Back propagation; Machine Learning; Multi layer; Feed forward; D
版次1
doihttps://doi.org/10.1007/978-1-4842-3507-2
isbn_softcover978-1-4842-3506-5
isbn_ebook978-1-4842-3507-2
copyrightRichard McKeon 2018
The information of publication is updating

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Training with Back Propagation,omplish this, we will simply increase or decrease the voltage in question by 0.2V. That’s our method of implementing back propagation of errors. Pretty crude, I know, but it makes for a good simulation of the process.
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carded solid waste because of its cost-effectiveness and simpler operational mechanism. Due to the complex reactions inside, landfills generate severely polluted wastewater streams recognized as leachate. Leachate is concentrated wastewater with extreme pH, chemical oxygen demand (COD), biochemical
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Richard McKeonid waste can be dated back to prehistoric days. Due to the invention of new products, technologies and services the quantity and quality of the waste have changed over the years. Waste characteristics not only depend on income, culture and geography but also on a society‘s economy and, situations li
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Richard McKeoncal and chemical factors, availability, acquisition cost, and disposal. Carbon is the main constituent of any biomass. The biomass materials selected for the characterization were bagasse, bamboo dust, coconut coir, cotton stalk, . branches, ., pine needles, groundnut shell, rice husk, and sal seed
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