Introduction to Generative AI

《Arts Styles of the Future：A Non-Technical Introduction to AI Drawing》結合AI與藝術的多元性。書中用淺顯語言，展現AI在藝術創作的可能，啟發科技或藝術愛好者新的靈感。涵蓋肖像藝術、室內設計到抽象表現主義，並以AI視角敘述，描繪新詮釋的永續發展目標，同時展示AI在藝術應用如UI/UX設計等，讓讀者感受AI與藝術的魅力。跨越科技與藝術的界限，我們邀請你共同踏上由AI揭示的藝術探索新境界。《Arts Styles of the Future：A Non-Technical Introduction g 》是一本為讀者打開AI與藝術交織世界大門的指南。在輕鬆易懂的語境中，本書向讀者展現生成式AI在藝術創作上無窮的可能性，並且所有精彩繪圖作品，都由知名的AI繪圖工具Midjourney創作。本書從AI對食物描繪的創新觀點出發，漸進式地導引讀者進入AI在動物描繪、肖像藝術，甚至時尚與室內設計領域的突破性實踐。你將有機會欣賞到機械風格、超寫實的環境描繪，到抽象表現主義與線條藝術等多元風格的混搭。此外，AI如何巧妙地以藝術的形式，生動展現城市氣溫與交通工具的美學，也將淋漓盡致地呈現在你眼前。在書的後半部分，我們顛覆傳統框架，以AI的獨特視角敘述全新的故事，喚醒讀者內在的童趣，並以多元風格描繪對永續發展目標(SDGs)的詮釋。在最終章節，本書展現了AI在藝術領域無邊際的應用，從印章、戒指、彩繪玻璃風格，到立體紙藝，甚至延伸至iPhone、UI/UX設計等多種應用。《Arts Styles of the Future：A Non-Technical Introduction to AI Drawing》邀請你進入AI與藝術的美麗交融之旅。無論你是藝術愛好者還是科技愛好者，都能在其中找到共鳴與to AI Drawing新的啟發。讓我們一起探索AI與藝術交織的多彩世界，感受到藝術原來可以如此接近，並引領我們走向創意與美感的新領域。

進入 AI 應用時代，查詢語法和函式功能就交給 AI 吧！用這本書來學『寫程式的直覺』！★知名教學網站『Real Python』人氣站長帶你學 Python！★★擺脫理論教條，從寫程式的過程體會怎麼寫程式！★Python 毫無疑問是現在最熱門的入門程式語言，而程式語言是現在最熱門的學科。許多人都想學習 Python，但看到複雜的語法和難懂的程式碼，又打退了堂鼓。其實寫程式不該像個『考試學科』，什麼都要死記硬背！Real Python 站長憑著多年的教學經驗，秉持 80 / 20 法則，讓你在精心安排的實作範例中，掌握少數的關鍵概念，就能學會寫程式的必要知識。比起『埋頭苦讀』，這本書會讓你『心領神會』：(X)每章開頭都講 2、3 頁道理，也不懂該用在哪裡(O)總之先寫程式，直接解釋執行結果(X)提供完美範例，看著都明白，自己寫卻一團亂(O)從程式雛型開始示範，試錯、除錯、完成步驟全收錄(X)相關功能一次教一大串，書一闔上就全忘(O)打鐵趁熱，每教一個功能就立刻操作跟著站長精心設計的實作流程、輕鬆詼諧的詳細解說，搭配有趣又豐富的練習題，讓我們『先寫程式』，然後自然而然『會寫程式』！本書特色: ●美國 Amazon 書店 4.6 顆星高評價●內容取自知名教學網站 Real Python，2012 年來超過百萬追隨●12 篇基礎操作，針對新手常見困擾解說，零基礎也絕對上手●8 篇進階應用，不只是寫寫習題，更能迎戰各種實際難題●PDF、資料庫、網路爬蟲、資料圖表、圖形介面程式...生活中實際運用●擺脫傳統上課、說教風格，從實作中自己體會程式思維●豐富的練習題和挑戰題，充分掌握內容

Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kep

’…an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world.’ Scarlett Curtis‘…[this book] taught me more than any book has ever taught me about AI.’ Chris Evans, Virgin RadioHow To Talk To Robots, is your girls guide to Artificial Intelligence. Entrepreneur Tabitha Goldstaub welcomes you into the AI world with a warm embrace. She brilliantly breaks down the tech-bro barriers offering a straightforward introduction and makes clear the enormous benefits of understanding AI..If your social feed defines your spending habits or you’ve downloaded the latest filter to see what you’ll look like when you are old or now connect with your doctor using an app, have applied for a job online or used your phone to arrive at work in record time, AI is playing a part in how you live, work and play. We live in an era where machines are taught to learn and act without human intervention and there are infinite possibilities to their applica

During the past twenty-five years, researchers have made impressive advances in pinpointing effective learning strategies (namely, activities the learner engages in during learning that are intended to improve learning). In Learning as a Generative Activity: Eight Learning Strategies that Promote Understanding, Logan Fiorella and Richard E. Mayer share eight evidence-based learning strategies that promote understanding: summarizing, mapping, drawing, imagining, self-testing, self-explaining, teaching, and enacting. Each chapter describes and exemplifies a learning strategy, examines the underlying cognitive theory, evaluates strategy effectiveness by analyzing the latest research, pinpoints boundary conditions, and explores practical implications and future directions. Each learning strategy targets generative learning, in which learners actively make sense out of the material so they can apply their learning to new situations. This concise, accessible introduction to learning strategi

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machi

第1章介紹了深度學習的基礎知識，重點介紹了與對抗樣本相關的梯度、優化器、反向傳遞等知識點。第2章介紹了如何搭建學習對抗樣本的軟硬件環境，雖然GPU不是必需的，但是使用GPU可以更加快速地驗證你的想法。第3章概括介紹了常見的深度學習框架，從TensorFlow、Keras、PyTorch到MXNet。第4章介紹了圖像處理領域的基礎知識，這部分知識對於理解對抗樣本領域的一些常見圖像處理技巧非常有幫助。

Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given

This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they thin

An introduction to generative phonology using tools of basic set theory, logic, and combinatorics.This textbook introduces phonological theory as a branch of cognitive science for students with minima

An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of arti

During the past twenty-five years, researchers have made impressive advances in pinpointing effective learning strategies (namely, activities the learner engages in during learning that are intended to improve learning). In Learning as a Generative Activity: Eight Learning Strategies that Promote Understanding, Logan Fiorella and Richard E. Mayer share eight evidence-based learning strategies that promote understanding: summarizing, mapping, drawing, imagining, self-testing, self-explaining, teaching, and enacting. Each chapter describes and exemplifies a learning strategy, examines the underlying cognitive theory, evaluates strategy effectiveness by analyzing the latest research, pinpoints boundary conditions, and explores practical implications and future directions. Each learning strategy targets generative learning, in which learners actively make sense out of the material so they can apply their learning to new situations. This concise, accessible introduction to learning strategi

This textbook provides a detailed introduction to the study of Latin from the perspective of contemporary linguistics. It adopts some basic tenets of generative grammar in an in-depth analysis of the

This textbook provides a detailed introduction to the study of Latin from the perspective of contemporary linguistics. It adopts some basic tenets of generative grammar in an in-depth analysis of the

This book invites students of linguistics to challenge and reassess their existing assumptions about the form of phonological representations and the place of phonology in generative grammar. It does

This book invites students of linguistics to challenge and reassess their existing assumptions about the form of phonological representations and the place of phonology in generative grammar. It does

This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the computer, engineering, mathematical and physical sciences. Ai

Building on the success of the bestselling first edition, the second edition of this textbook provides a comprehensive and accessible introduction to the major issues in Principles and Parameters synt

From the author of "Physics for Game Developers," comes a new, non-threatening introduction to the complex subject of game programming.

With this textbook, Yehuda N. Falk provides an introduction to the theory of Lexical-Functional Grammar, aimed at both students and professionals who are familiar with other generative theories and n