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Titlebook: Learn Raspberry Pi Programming with Python; Learn to Program on Wolfram Donat Book 2018Latest edition Wolfram Donat 2018 Raspberry Pi.Pyth

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發(fā)表于 2025-3-21 19:11:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Learn Raspberry Pi Programming with Python
副標(biāo)題Learn to Program on
編輯Wolfram Donat
視頻videohttp://file.papertrans.cn/583/582631/582631.mp4
概述Updated for the newest editions of theRaspberry Pi board.Hands on tutorials throughout.Perfect introduction to both micro computers and programming
圖書封面Titlebook: Learn Raspberry Pi Programming with Python; Learn to Program on Wolfram Donat Book 2018Latest edition Wolfram Donat 2018 Raspberry Pi.Pyth
描述Learn how to program your nifty new $35 computer to make a web spider, a weather station, a media server, and more. This book explores how to make a variety of fun and even useful projects, from a web bot to search and download files to a toy to drive your pets insane..Even if you‘re completely new to programming in general, you‘ll see how easy it is to create a home security system, an underwater photography system, an RC plane with a camera, and even a near-space weather balloon with a camera.? You‘ll learn how to use Pi with Arduino as well as Pi with Gertboard, an expansion board with an onboard ATmega microcontroller..Learn Raspberry Pi Programming with Python.?has been fully updated in this new edition to cover the features of the new boards. You‘ll learn how to program in Python on your Raspberry Pi with hands-on examples and fun projects.?.What You‘ll Learn.Set up your new Raspberry Pi.Build unique projects across a range of interests.Program basic functions and processes using Python.Who This Book Is For.Readers who want to learn Python on a fun platform like the Pi and pick up some electronics skills along the way. No programming or Linux skill required, but a little expe
出版日期Book 2018Latest edition
關(guān)鍵詞Raspberry Pi; Python; Programming; Development; Micro computer
版次2
doihttps://doi.org/10.1007/978-1-4842-3769-4
isbn_softcover978-1-4842-3768-7
isbn_ebook978-1-4842-3769-4
copyrightWolfram Donat 2018
The information of publication is updating

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Wolfram Donatom an ensemble of compressed measurements. The SWIR spectrum provides significant benefits in many applications due to its night vision characteristics and its ability to penetrate smoke and fog. Walsh-Hadamard matrices are used for generating pseudo-random measurements which speed up the reconstruc
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Wolfram Donatom an ensemble of compressed measurements. The SWIR spectrum provides significant benefits in many applications due to its night vision characteristics and its ability to penetrate smoke and fog. Walsh-Hadamard matrices are used for generating pseudo-random measurements which speed up the reconstruc
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Wolfram Donatom an ensemble of compressed measurements. The SWIR spectrum provides significant benefits in many applications due to its night vision characteristics and its ability to penetrate smoke and fog. Walsh-Hadamard matrices are used for generating pseudo-random measurements which speed up the reconstruc
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Wolfram Donat mosaic removal. Inspired by the application of attention mechanism, we apply channel attention (CA) and pixel attention (PA) to DRAN to make the network focus on more informative information. In addition, we improve the conventional pixel attention which we superimpose three convolutional kernels o
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Wolfram Donat mosaic removal. Inspired by the application of attention mechanism, we apply channel attention (CA) and pixel attention (PA) to DRAN to make the network focus on more informative information. In addition, we improve the conventional pixel attention which we superimpose three convolutional kernels o
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Wolfram Donatt contrastive learning architectures based on the memory bank network. The existing memory-bank-based model can only store global features across few data batches due to the limited memory bank size, and updating these features can cause the feature drift problem. After analyzing these issues above,
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Wolfram Donat China in June, 2021.?The 21 papers presented were carefully reviewed and selected from 86 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphi
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