Comprehensive Guide to TinyML: Machine Learning on Resource-Limited Devices
Unlock TinyML Insights: Your Guide to Edge AI
A comprehensive guide to TinyML, this book provides a practical approach to edge computing and machine learning on resource-limited devices. It covers topics like deploying models for boards, working with TensorFlow, and understanding the code it generates. However, some readers have noted that the book is not up to date with the latest TensorFlow version and the provided links do not work. Despite these issues, the book offers valuable insights for data enthusiasts looking to explore new sources of data and interact with the physical world.
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This page displays purchase options and a preview of the customer feedback analysis report for TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers: based on online reviews collected from Amazon. The analysis helps Embedded Systems Engineers, Data Scientists, Software Developers, Electronics Hobbyists, AI Research Scientists to discover insights into what people love, dislike, and need.
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This report contains qualitative analysis with Net Promoter Score, Sentiment Analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF and PowerPoint formats, and all the reviews are available in Excel.
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Themes and SummariesDiscover Buyer PersonasBuild Strategies Based on SWOT AnalysisUnlock & Dive Deeper to Popular PhrasesDive into Emotions with Sentiment Analysis!Filter Through Clarity with Classification!Cultural Curiosity: Gain Deeper Insights with Language FilteringUse advanced filters to enhance CX.Unlock customer review analysis with all features, right away.Unlock customer review analysis with all features, right away.Search specifics with upgrading!Never miss a single review!
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