scratch link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

程式設計邏輯訓練超簡單 Scratch 3初學特訓班(附330分鐘影音教學/範例檔)

為了解決scratch link的問題，作者鄧文淵,文淵閣工作室 這樣論述：

　　附書DVD*1 　　國內第一本最具廣度與深度的Scratch 3.0中文書！ 　　入門、應用到專題實作全攻略! 　　直擊全球程式學習新風潮！ 　　透過簡單的圖像拼塊拖拉，自然建構運算思維、 　　邏輯思考、解決問題、程式設計與互動創意的能力， 　　邁入AI人工智慧新領域！ 　　全新Scratch 3.0，全面啟動！ 　　超乎想像，最棒的創意設計體驗! 　　麻省理工學院媒體實驗室所開發的免費圖形化程式設計軟體Scratch早已成為建構運算思維、學習程式設計、進行邏輯訓練，以及創造互動設計的最佳入門工具。無程式基礎者也能在拼塊拖拉之間就完成結合劇情、動畫、遊戲、影像與音樂，甚至是與硬

體互動的創意設計作品。新一代的Scratch 3.0更加進化，融入許多進階應用功能，如語音、翻譯等，也讓創意開發更強大。 本書特色   　　˙國內第一本最具廣度與深度的Scratch 3.0中文書。 　　˙同步提供線上版與離線版的安裝與使用解說。 　　˙採用全新開發介面與模式，全面循序漸進分類介紹各式內建拼塊與擴增模組。 　　˙結合超多進階功能應用，如偵測判斷、提問、視訊、語音、翻譯拼塊…等。 　　˙彙整專題開發常用技巧，如：角色、場景的移動、計時器、繪圖、物理運動…等。 　　˙以好玩有趣的小範例進行解說，提供整合演練，融入扎實的程式學習流程。 　　˙涵蓋18個不同面向的專題實戰，大幅提升創

意設計能力。 　　˙加碼介紹時下最熱門的Micro:bit裝置，讓Scratch也能軟硬通吃！ 　　˙提供330分鐘的專題開發影音教學，快速提升學習力。 　　書附超值光碟：330分鐘專題影音教學/範例檔/練習檔  

scratch link進入發燒排行的影片

高中生運算思維評量工具之發展

為了解決scratch link的問題，作者胡秋帆 這樣論述：

現有運算思維的評量工具，有些為自我評量方式，偏向瞭解學生對運算思維的理解與態度；有些為測驗方式，著重評量學生程式設計或資訊科學技能，但卻未能真正評量學生的運算思維通用能力。而且大多數現有評量工具，缺乏嚴謹試題發展過程及信、效度檢驗。本研究目的為發展評量高中生運算思維能力的工具，並探討與高中生運算思維能力有關的因素。本研究發展的運算思維測驗包含問題分解、資料表示、演算法、與模式一般化等四個構念。測驗試題由八位中學資訊教師出題及討論修改，再由四位大學資訊科學教育專家審題編修，另由一位教育測驗專家協助測驗實施與分析，以確保測驗信、效度。測驗試題共有12題，題型包括單選題及填充題，學生不需具備程式設

計能力或資訊科學知識即可答題。本研究以北北基地區為施測範圍，採分層抽樣，分層標準為會考成績、年級及班群，總計有249位高中學生參與測驗。研究結果顯示，本測驗試題難度接近適中，並具鑑別度，Cronbach's alpha係數與折半信度顯示試題具內部一致性，個別試題也皆與總分呈正相關，所有題目具有同質性與穩定度。本測驗試題係由專家發展與編修，具專家效度；測驗總分與國際運算思維挑戰賽分數呈正相關，具有效標關聯效度。然而，在CFA模型檢驗結果顯示，四個構念相對適配度指標多未達良好適配度，構念效度仍待進一步檢驗。本研究分析結果也發現運算思維能力與性別、班群、程式設計學習傾向、選修程式設計相關課程經驗以及

相關領域學科成就有關。本測驗發展嚴謹，具信、效度，測驗成績可呈現學生運算思維整體能力，並作為學生修習及升學資訊科學相關領域的參考。建議未來研究可精進試題之構念解釋力，精簡試題內容敘述，增加研究參與者數量，以及測驗施測安排等做適當調整。

Diana’’s Freelance Tips: How to Succeed on Upwork: A Winning 7-Step Formula and Some Hard Truths from a Freelance Pro

為了解決scratch link的問題，作者Marinova, Diana 這樣論述：

"An insider's take on how to break into the Upwork market If you are a freelancer hoping to break into the Upwork job market, this book will save you hours of browsing through free blog posts and forums. You might be thinking" why pay for this information when, with a little diligence, I can find th

is info all over the web? Here's why: 1. This author has managed to build a quite successful (translate: lucrative) career on Upwork, way back when it was still oDesk and Elance. She knows that ins and outs of this platform 2. She's been on both sides of the equation: hiring people herself, and pi

tching (and wininng ) major bids for projects and contracts 3. There are many things that you only learn after years and years of working through this platform, and she's privy to most of this knowledge. Now, you can benefit from her experience. I've known people who ask me for advice on how to ge

t started on Upwork. These days, instead of giving them a lengthy explanation, I just email them a link to this e-book -- it has everything they need to know, and more." Chrystina and Brian, Amazon Customer"It was an AWESOME book starting a freelance career. Thanks Diana for this COOL info. Would r

ecommend every Freelance beginner reading this book before starting and along the way. I have got a lot from this book and have started from scratch on Upwork, it does help you create your first base ground to launch a successful freelance business." Amazon Customer"What I liked the most about the

book is that it motivates and inspires you. The author gives you some "homework" and you will appreciate the value of the book right at the moment you start doing the first homework " Ilian Yankulov, Freelancer & Project Manager, working remotely for a Danish Digital AgencyThis book is the direct r

esult of Diana Marinova's extensive experience as a freelance marketing consultant and the many questions she receives on a daily basis from the fellow freelancers who read her blog.What experience you ask?She has completed more than forty freelance projects. She is a top-rated freelancer on Upwork

(formerly oDesk) with 6,500+ paid hours and even more if counting the hours spent working on fixed-price jobs. Clients continuously rate her work with the maximum review rating of five-stars.Today she fully enjoys the freelance lifestyle-traveling the world while making a good living working online.

Her market rates range from ＄40+ per hour for hourly jobs, all the way up to ＄100+ per hour when working on fixed-price projects.And she sure made a lot of mistakes early on in her freelance career-for example, she was selling herself short when working for as low as ＄7 per hour during the first fe

w months ...Don't make rookie mistakes when you can learn from hers. Download the sample of the book and see what's in it.But be warned-this book is not a silver bullet for success. You have to roll up your sleeves and work hard to achieve your goals.If you are committed to succeed, this book is eve

rything needed to kick-start your freelance practice on Upwork (formerly oDesk).Diana tells her story while also walking you through all the steps needed to lay a solid foundation for your freelance business on Upwork. In the end of each chapter, she includes action items (a.k.a. homework assignment

s) to help you put all tips in practice right away.Have a look inside to see the Table of Contents and the first couple of book sections. Born and raised in a small country in Eastern Europe, today Diana Marinova fully enjoys the freelance lifestyle. She wears many hats-freelance marketing consult

ant, blogger, freelance mentor, start-up enthusiast, but above all-traveler by heart. What Diana loves most about freelancing is the opportunity to be the master of her own time and life. Working online enables her to make a living without being bound to any given place or time. She cherishes the op

portunity to make a good living while still having time for hobbies and trotting the globe one step at a time. She strongly believes everybody deserves the chance to live their dream life. That’s why she writes books, runs a blog, and dedicates a significant portion of her time to helping fellow fre

elancers succeed.

深度學習方法應用於高光譜之特徵多光譜萃取-以蓮霧糖度預測為例

為了解決scratch link的問題，作者陳致融 這樣論述：

摘要 iAbstract iiAcknowledge ivContent vList of Figures viiiList of Tables xiiiChapter 1 Introduction 11.1 Smart Agriculture 11.2 Motivation 21.3 Introduction of Syzygium samarangense 5Chapter 2 Hyperspectral Imaging Technique 62.1 Basic Theory 62.1.1 Electromagnet

ic radiation 62.1.2 Radiometry 62.1.3 Geometrical optics 82.1.4 Absorbance, Transmittance, and Reflectance of material 132.2 Optical and Infrared Spectroscopy 142.2.1 Spectroscopy 142.2.2 Hyperspectral Spectroscopy 142.2.3 Multispectral Spectroscopy 152.2.2 Hyperspectral Imag

ing 162.3 Hyperspectral Instrument 172.3.1 Structure of hyperspectral imaging system 172.3.2 Sensing element of spectrometer 182.3.3 Types of Hyperspectrometers 192.4 Applications of Hyperspectral Imaging 23Chapter 3 Methodology of Hyperspectral Analysis and Deep Learning Models

263.1 Calibration of Instrument 263.1.1 Spatial calibration 263.1.2 White and Dark calibration 263.1.3 Spectral calibration 273.1.4 Spectra smoothing 283.2 Modeling of Hyperspectral Data 293.2.1 Dimension Reduction 293.2.2 Deep Learning Regression Modeling for Hyperspectral Ima

ges 303.2.4 Loss Function 363.2.5 Optimizer 373.3 Error evaluation 393.4 Related Research of Deep Learning Model to Hyperspectral Imaging 40Chapter 4 Methodology of Hyperspectral Conversion and Signature-band Extraction 434.1 Hyperspectral to Multispectral Conversion 434.2 Ex

plainable Artificial Intelligence 444.2.1 Occlusion 444.2.2 Saliency Map 444.2.3 Integrated Gradient 454.3 Related Research of Signature-band Extraction on Spectral Data 464.4 Multispectral Imaging Instrument 48Chapter 5 Experimental Design of Sugariness Prediction of Syzygium sama

rangense with Hyperspectral Data 495.1 Hyperspectral Data Preparation 495.1.1 Preparing Samples 505.1.2 The Procedure of Hyperspectral Measurement 505.1.3 Sugariness Measurement – Labelling 505.2 Hyperspectral Data Pre-processing 515.2.1 White/Dark Calibration on the Hyperspectral

Data 515.2.2 3-Dimensional and 1-Dimensional Data Type – ROI Sampling 515.2.3 Data sampling and splitting for modeling 525.3 Evaluation of Modeling of Hyperspectral datasets 545.3.1 Evaluation by Hyperspectral Data Visualization Using t-SNE 545.3.2 Evaluation Over Deep Learning Regres

sion Models 56Chapter 6 Results of Sugariness Prediction of Syzygium samarangense with Hyperspectral Data 606.1 The Data Visualization Results of the HSIs dataset 606.2 The Hyperspectral Modeling Results 616.3 Evaluation of the Learning Results of Hyperspectral data Modeling by Visualizi

ng the Inputs fed to the Last Layer 64Chapter 7 Experimental Design of Sugariness Prediction of Syzygium samarangense with Multispectral Data and Verification using the Hand-Held Device 677.1 Verification of the Modeling of Multispectral datasets 677.1.1 Multispectral Data Preparation 68

7.1.2 FNN Modeling and Verification using Multispectral Data 697.2 Verifications of the Bands Selection using Multispectral Datasets 707.2.1 Data Preparation of Re-sampled Multispectral Data 707.2.2 FNN Modeling and Verification using re-sampled Multispectral Data 717.3 Verifications of

the Modeling using Datasets Collected from the Hand-Held Device 727.3.1 Sample Preparation 727.3.2 Data Pre-processing 757.3.3 FNN modeling and Verification 79Chapter 8 Results of Sugariness Prediction of Syzygium samarangense with Multispectral Data and Hand-Held Device Datasets 828.

1 Results of the Modeling using Multispectral Data 828.2 Results of Bands Selection 858.3 Results of the Modeling using re-sampled Multispectral Data 868.4 Results of the Bands Selection using the Datasets Collected from the Hand-Held Device 928.5 Results of Eliminating the Outliers 9

58.6 Model Implementation with Coding from Scratch 97Chapter 9 Discussion, Conclusion and Future Work 1009.1 Discussion 1009.1.1 The Modeling Results on Hyperspectral and Multispectral Datasets 1009.1.2 Verification of Band Selection Results 1009.1.3 Modeling of the Data Collected fro

m Hand-Held Device 1019.2 Conclusion 1049.3 Future work 105References 106Publication 115