GitHub的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

C HOW TO PROGRAM: WITH CASE STUDIES IN APPLICATIONS AND SYSTEMS PROGRAMMING 9/E (G-PIE) 

為了解決GitHub的問題，作者PaulDeitel,HarveyDeitel 這樣論述：

　　Thistitle is a Pearson Global Edition. The editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to an international and diverse audience.   　　For courses in computerprogramming.   　　A user-friendly,code-intensive introduction

to C programming with case studies introducing applicationsand system programming.   　　C How to Program is a comprehensive introduction toprogramming in C. Like other texts of the Deitels How to Program series,the books modular presentation serves as a detailed, beginner source ofinformation for col

lege students looking to embark on a career in coding, orinstructors and software-development professionals seeking to learn how toprogram with C. The signature Deitel live-code approach presents concepts inthe context of 142 fully working programs rather than incomplete snips of code.This gives stu

dents a chance to run each program as they study it and see howtheir learning applies to real-world programming scenarios.   　　Current standards, contemporary practice, and hands-onlearning opportunities are integrated throughout the 9th Edition.Over 350 new, integrated Self-Check exercises with ans

wers allow students totest their understanding of important concepts and check their code as theyread. New and enhanced case studies and exercises use real-world data and focuson the latest ACM/IEEE computing curricula recommendations, highlightingsecurity, data science, ethics, privacy, and perform

ance concepts.   本書特色   　　* A user-friendly, code-intensive introduction to C programming. 　　The Deitel signature live-code approach allows students to run full programs as they learn key concepts.   　　- UPDATED - The 9th Edition features 142 complete, working, real-world C programs. Each code examp

le is followed with one or more sample executions.   　　- UPDATED - All code examples and code selections were checked using the clang-tidy static code analysis tool.   　　NEW - Over 350 integrated Self-Check exercises with answers help students test and validate their understanding as they read.   　　

- Fill-in-the-blank, true/false, and discussion Self Checks focus on concepts and terminology.   　　- Code-based Self Checks give students a chance to try out and reinforce programming techniques.   　　A focus on performance issues prepares readers for professional software-development challenges and

practices.   　　UPDATED - Students are encouraged to think like developers by familiarizing themselves with popular open-source software and tools like Docker, GitHub, and StackOverflow.   　　* Offers hundreds of real-world examples, exercises, and projects for hands-on practice 　　UPDATED More than tw

enty case studies in systems programming and applications programming give students fun, hands-on opportunities to use C as its intended to be used. New and enhanced case studies:    　　- Focus on data science including simulations with random-number generation, survey data analysis, natural language

processing, and artificial intelligence (machine-learning with simple linear regression).   　　- Incorporate free open-source libraries and tools.   　　- Focus on visualization with gnuplot.   　　- UPDATED - Over 400 examples, exercises, and projects (EEPs) allow students to solve interesting, real-wo

rld problems working with real-world data. EEPs are drawn from an assortment of computer science, data science, and other fields to instruct and engage students.   　　* Covers fundamental to advanced concepts in a flexible, modular format 　　Rich coverage of C fundamentals emphasizes problem-solving a

nd algorithm development to give novice programmers a solid foundation in programming principles.   　　Intermediate and advanced topics are included for use in higher-level courses or for further self-study. 　　The modular presentation covers fundamental to advanced concepts in groups of related chap

ters. Instructors can easily adapt the content to a variety of courses and audiences.   　　- NEW - A one-page, full-color Table of Contents chart on the inside front cover makes it easy to see the books modular structure and lists all of the case studies.   　　Up-to-date content aligns with contempora

ry standards, trends, operating systems, and development tools.   　　- UPDATED - The book adheres to the C11/C18 standards to keep pace with expanded C capabilities. Terminology throughout has been updated to reflect the most recent C standard to help students prepare for a career in programming.   　

　- UPDATED - All program code is compatible with Windows, macOS, and Linux operating systems and has been tested using the latest versions of the Visual C++, XCode, and GNU gcc compilers.   　　- UPDATED - Updated content aligns to the latest ACM/IEEE computing curricula recommendations, which call fo

r covering security, data science, ethics, privacy, and performance concepts and using real-world data throughout the curriculum.   　　- UPDATED - Enhanced and updated coverage of secure C programming includes additional SEI CERT C Coding Standards. All security-related issues are called out with an

icon in the text.   　　- UPDATED - Additional exercises ask students to use the Internet to research ethics and privacy issues in computing.   　　- UPDATED - Performance icons identify areas in the text that discuss performance-related issues. The case study on multithreading and multicore performance

has been enhanced.   　　- NEW - Common errors and good software engineering practices are called out with new margin icons.   　　- NEW- A new tutorial helps MacOS and Windows users compile and run programs using gcc in the cross-platform GNU Compiler Collection Docker container.   　　- UPDATED - Expan

ded coverage of sorting algorithms and analysis of algorithms with Big O is included in a dedicated chapter (Chapter 13).   　　- NEW - Appendix D presents a user-friendly overview of object-oriented programming fundamentals to help introduce students to different programming paradigms. 

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殘差全連接層之神經網路系統

為了解決GitHub的問題，作者蘇柏暐 這樣論述：

近年來神經網路已有許多發展，其中影像方面的的進展是特別顯著的，隨著硬體進步，以前許多演算法可以在有限時間內做更多的嘗試。神經網路現行常用的一個方法是全連接層(Fully-Connected Layer)，每一層之間連接都會帶有許多權重進行正向傳播(Forward Propagation)，且是一層接著一層的。我們基於此將全連接層進行跨層連結，比較不同的跨層類別之間的的正確率，確認跨層連結對於正確率有提升。本論文使用 Python/Tensorflow/Keras，建構圖像分類神經網路，我們會先使用 ResNet 用於萃取特徵，再來串接全連接層，在透過不同連結方式來比較，並使用不同資料集確保公

正性。

JS絕對版本相容性：Webpack+Babel完美結合開發實戰

為了解決GitHub的問題，作者姜瑞濤 這樣論述：

　　零基礎前端開發新手也能輕鬆上手的前端 Pre-process 自動化編譯！ 　　許多初學者剛開始學習前端開發時，面臨搜尋引擎中紊亂無條理的前端框架教學資料，仍搞不清楚到底要學什麼；即使寫好所有 Pre-process，卻沒有一個前端自動化工具編譯這些 Pre-process。 　　Webpack 與 Babel 為現代前端工程領域最核心的兩大工具，就是自動化編譯的救星！本書系統性的撰寫風格就是引導你入門 Webpack 與 Babel 的指南針，讓你成為一位概念清晰又操作泰然的開發者。 　　【Webpack＋Babel 兩大核心工具完全攻略！】 　　本書精選 Webpack 以及

Babel 兩大主題編排而成，Webpack 部分為前 8 章，Babel 部分則為後 4 章，兩部分之區分相輔相成，讓讀者更方便參考，知悉兩大核心工具的精髓。 　　◎[Webpack] → CSS 引入／ES6 模組／CommonJS／資源出入口實作／最常用外掛程式開發／前置處理器 file-loader 及 url-loader 配置與使用／環境設定／模組熱替換／性能最佳化 　　◎[Babel] → 安裝設定及轉碼／外掛程式的選擇／babel-polyfill 的使用／@babel/preset-env 的使用／@babel/plugin-transform-runtime 的使用／最

常用工具應用全集／入門原理介紹 　　◎本書程式實作適用於 Webpack v5.0.0 與 Babel v7.0.0 後版本 本書特色 　　JavaScript Developer 必備的工具書！ 　　★ 自己學或產業開發都派得上用場 　　自學者或 IT 產業人士無需再感到孤單，本書實用性極高，從【入門概念到開發應用】一次打包給你，是十分值得入手的 JS 工具用書選擇。 　　★ 系統性整理的撰寫風格 　　本書主要用【系統性的整理手法】來梳理 JS 新手使用 Webpack 與 Babel 較不容易理解的概念，讓新手讀者輕鬆上手。 　　★ 範例程式 Bonus！ 　　本書搭配完整的

code 於深智官網，【免費下載】，方便讀者跟著每個章節步驟實作時更容易掌握 JS 所具備的細節，找到自己的開發價值。  

域快速自適應之人臉偽造辨識模型

為了解決GitHub的問題，作者林君達 這樣論述：

雖然現有的人臉反欺騙(FAS)或深度造假(Deepfake)檢測方法在性能方面是有效的，但它們通常使用大量的參數，因此十分耗費硬體資源，不適合手持設備。除此之外，他們花了很多時間訓練因為他們以普通監督式學習(Supervised-Learning)來處理假臉辨識議題上的各種造假形式，但這往往需要大量的訓練資料以及時間來應付更多元的攻擊型態與不同的人像環境。綜上所述，為了克服人臉反欺騙或深度造假領域的挑戰，學習從預定義的演示攻擊中歸納出欺騙類型的鑑別特徵，同時賦予模型學習的能力，使模型不僅能學習一種造假特徵，還能快速適應其他類似的造假特徵也是一個重要的問題。我們提出了一種基於批量樣本間關係的嵌

入空間特徵損失策略，通過自訂一的損失函數鼓勵明確區分假臉和真臉樣本，使得類別間的邊界更為清晰來促使分類更加準確。同時，我們還將這種基於度量學習(Metric Learning)方法與一種基於少樣本學習(Few-shot Learning)的方法結合，更好地發揮兩種方法的優勢。並通過比較參數的數量、FLOPS和其他先進的方法的基線，進一步展示了我們的模型的可靠性。