Python coding的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列訂位、菜單、價格優惠和問答集

電腦&程式設計知識圖鑑：0基礎也好懂!科技素養與邏輯力躍進的第一步!

為了解決Python coding的問題，作者石戶奈奈子 這樣論述：

符合108課綱理念與目標！ AI時代不可不知的知識！ 認識生活周遭的科技，激發好奇心， 自然養成觀察與體驗日常生活中的需求或問題的習慣， 同步提升探索、創造性思考、邏輯與運算思維！   AI是什麼？究竟什麼是程式設計？ 程式語言有何區別？ 最輕鬆、易懂的電腦＆程式設計圖鑑！   　　咦？！ 　　硬體、軟體與程式設計的必備要素 　　都變成了可愛、生動的角色！ 　　這些既熟悉又陌生的角色，你都認識嗎？ 　　超級電腦──透過複雜的計算來支撐社會！ 　　硬碟＆SSD──什麼都記得住的記憶專家 　　編譯器──負責聯繫電腦與人類的翻譯家！ 　　程式錯誤──害程式異常的搗蛋鬼！ 　　Python──以程

式庫為傲的AI教練 　　……精彩圖解超好懂！功能、使用情境一目瞭然！   　　歡迎來到電腦的世界！ 　　平板電腦／智慧型手機／超級電腦／CPU／RAM／ROM／主機板／硬碟／SSD…… 　　除了基本資料、特長與實際應用範例，還有豐富的知識補充， 　　電腦有哪些周邊產品？內部構造長怎樣？電腦與AI的關係是什麼？ 　　將介紹電腦的類型、零件及其功能，從今天開始你也是電腦知識王！   　　我們的生活中充滿著程式設計？ 　　沒有程式下達指令，就無法驅動電腦！ 　　什麼是程式設計？程式設計有什麼用途？程式又是如何編寫的？ 　　當程式出現錯誤會發生什麼狀況？ 　　介紹程式的基本思維，清楚易懂的流程結構說明

， 　　原來程式設計這麼有趣！   　　電腦之間有共通語言嗎？ 　　C語言？Java？Python？ 　　這些好像看過、卻從不了解的名詞代表著什麼？ 　　用0和1就可以表達資訊？！程式語言有哪些？要怎麼學？ 　　介紹人類語言與機械語言之間的差異， 　　結合彼此的智慧就能創造無限的可能性！ 　　 好評推薦   　　★臺北市日新國小校長／臺北市國小資訊教育輔導團‧召集人 林裕勝 　　★Coding魔法學院創辦人 蔡淑玲 　　★新竹市建華國中教師‧暢銷作家 謝宗翔（KK老師） 　　（依姓氏筆畫順序排列）

Python coding進入發燒排行的影片

Automated Vision-based Post-Earthquake Safety Assessment for Bridge Using STF-PointRend and EfficientNetB0

為了解決Python coding的問題，作者Kenneth Harsono 這樣論述：

Structural health monitoring (SHM) on the bridge is important to know the usability of the bridges. However, conventional inspection is labor-intensive and expensive. This method is not suitable for post-earthquake inspections that require speed and consistency. Therefore, this research aims to dev

elop an automated bridge inspection using STF-PointRend and EfficientNetB0. The STF-PointRend consists of two-part, namely symbiotic organism search as a hyper-parameter optimizer and PointRend as semantic segmentation. This model is used to recognize the component and the damage type which will be

used to get the percentage of the damaged component. On the other hand, the EfficientNetB0 uses as the image classifier. The output of this model is used to get the damage level from each component. As a base to determine the safety of the bridge, this study uses the degree of earthquake resistance.

This rating system is based on the DERU method but only considers the structural component. The result shows that STF-PointRend gets a good testing result with the mIoU of 82.67% and 71.42% for component and damage detection. Meanwhile, the EfficientNet got an average F1score of 0.85912 for the tes

ting dataset. For further evaluation, this research uses two minor bridges that suffered catastrophic earthquakes from Palu Earthquake in 2018. The evaluation shows that both bridges need maintenance as soon as possible.

The Book of Recursion

為了解決Python coding的問題，作者Sweigart, Al 這樣論述：

An accessible yet rigorous crash course on recursive programming using Python and JavaScript examples.Recursion has an intimidating reputation: it’s considered to be an advanced computer science topic frequently brought up in coding interviews. But there’s nothing magical about recursion. The Rec

ursive Book of Recursion uses Python and JavaScript examples to teach the basics of recursion, exposing the ways that it’s often poorly taught and clarifying the fundamental principles of all recursive algorithms. You’ll learn when to use recursive functions (and, most importantly, when not to use t

hem), how to implement the classic recursive algorithms often brought up in job interviews, and how recursive techniques can help solve countless problems involving tree traversal, combinatorics, and other tricky topics. This project-based guide contains complete, runnable programs to help you learn

: How recursive functions make use of the call stack, a critical data structure almost never discussed in lessons on recursionHow the head-tail and ＂leap of faith＂ techniques can simplify writing recursive functionsHow to use recursion to write custom search scripts for your filesystem, draw fractal

art, create mazes, and moreHow optimization and memoization make recursive algorithms more efficientAl Sweigart has built a career explaining programming concepts in a fun, approachable manner. If you’ve shied away from learning recursion but want to add this technique to your programming toolkit,

or if you’re racing to prepare for your next job interview, this book is for you.

整數二次項積分與激發神經模型

為了解決Python coding的問題，作者葉宸甫 這樣論述：

進行突波神經網路之模擬時常需求解大量微分方程，而這使得現代電腦進行一實時處理因圖片而產生之光流的仿生視覺系統模擬時面臨一大挑戰。爲解決此一問題，我們開發了整數二次項積分與激發(Integer Quadratic Integrate-and-Fire, IQIF)模型，作爲新型的神經模型。IQIF 可產生與經典QIF 神經模型相同之激發模式，並將常見於模擬之浮點運算縮減爲整數運算；以受限制的膜電位與突觸電流動態範圍爲代價，此模型將提供對記憶體與邏輯閘較少需求之模擬方案。因此，IQIF 是一遵守生物可信性之模型，並可實作於邊緣運算平臺上，以達成低功耗、低成本之神經科學研究與機器學習應用。