Computer Vision

My Microsoft Windows 11 Computer for Seniors is an easy, full-color tutorial on the latest operating system from Microsoft. Veteran author Michael Miller is known for his ability to explain complex topics to everyday readers. Michael wrote this book from the 50+ point of view, using step-by-step instructions and large, full-color photos to cover all the most popular tasks. Miller will help you learn to: Configure Windows 11 to work better for those with vision and physical challenges Explore the web with Microsoft's Edge browser and Google Search Find, install, and use the best Windows apps Reliably connect to the Internet, both at home and away Shop safely online and avoid online scams Make and receive video and voice calls with Skype Connect your phone to your PC to text and make calls Stay connected with friends and family on Facebook, Pinterest, and Twitter Store, touch up, and share your pictures Send and receive email with Windows 11's Email app Keep track of all your files, a

Learn how to apply cognitive principles to the problems of computer vision Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in bio

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Pytho

The practice of robotics and computer vision both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large

There has been an enormous increase in research activity aimed at elucidating the basis for cortical activity in the brain. Among modern techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are the subject of intense study, and some remarkable properties have already come to light: these networks are able to discriminate, remember and associate. Professor Cotterill has assembled leading experts in this burgeoning field to produce an exciting review of advances. The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.

Colour Imaging Vision and Technology Edited by Lindsay W. MacDonald and M. Ronnier Luo University of Derby, UK With every new computer now equipped with CD-ROM and high quality colour display and soun

There has been an enormous increase in research activity aimed at elucidating the basis for cortical activity in the brain. Among modern techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are the subject of intense study, and some remarkable properties have already come to light: these networks are able to discriminate, remember and associate. Professor Cotterill has assembled leading experts in this burgeoning field to produce an exciting review of advances. The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.

在 AI 模型不停推陳出新，生成的內容越來越逼真，你是不是也開始對 AI 躍躍欲試，但卻又不得其門而入呢？這本書的誕生，就是為了讓你我都能看得懂、用得上、不被落下。▌給上班族的你：媒體不斷報導 AI 的強大，一邊說它能提升效率，一邊又說它可能取代人類工作──其實與其恐懼 AI，不如學會了解 AI。當你掌握 AI 的能力與限制，就能把它變成你的助力，讓自己在職場中更有競爭力。▌給學生、新鮮人與轉職者：當企業逐漸看重具備 AI 能力的人才，你的履歷中有沒有實作經驗、能否與 AI 工具協作，都會成為關鍵加分項。然而學校不一定有教、網路資源又過於零碎，想要快速補足這塊技術的知識，你需要的是一套有系統的入門書。▌給關心下一代的家長：現在的年輕世代是「AI 原生族群」，生成式 AI 將會伴隨他們長大、學習、工作，甚至影響他們的創造力與價值觀。與其被科技隔閡拉遠，不如主動理解 AI 的樣貌與影響，陪伴孩子健康地使用 AI、成為真正的科技公民。無論你是上班族、新鮮人、轉職者、家長或學生，這本書都能幫助你打開 AI 世界的大門!正如書名中「⇄」符號所呈現的意義，希望帶領讀者了解各種「生成式 AI」應用與背後相關技術的來龍去脈，讓你用最輕鬆的方式，培養面對未來的 AI 素養與競爭力。現在就開始——你將不只是 AI 使用者，更是 AI 時代的參與者！本書特色: \ 一看就懂的生成式 AI 最強入門書 /貼近科技脈動，跟上 AI 技術發展腳步，吸收新知不落伍！涵蓋完整 AI 技術地圖：- 機器學習 (Machine Learning)- 深度學習 (Deep Learning)- 電腦視覺 (Computer Vision)- 自然語言處理 (NLP)- 聊天機器人 (Chatbot)- 生成式 AI (Generative AI)- 檢索增強生成 (RAG)- AI 代理 (AI Agent)- AI 倫理與未來思辨\ 52 個零基礎實作活動，讓你輕鬆玩懂 AI /從趣味實驗到真實應用，不懂程式也能動手玩：- 看懂 ChatGPT 的運作邏輯- 跟 AI 協作畫圖、創作音樂- 打造毛小孩的影像識別模型- 自動駕駛與 AI 道德判斷體驗- 用眼睛控制畫面、用聲音操控動作- 打造一個跟你對話的 AI 代理人- 用 RAG 檢索不同的資料- 請 AI 協助招聘的公平性反思還有更多實用又有趣的活

▍GPT、Transformer、attention / self-attention 機制、seq2seq 架構...，大型語言模型 (LLM) 背後的建模技術「硬派」揭密！▍AI 界扛霸子 NVIDIA 的指定教材！近年來，在 NVIDIA (輝達) GPU、CUDA 技術的推波助瀾下，大型語言模型 (LLM) 的發展有著爆炸性的成長，例如最為人知的 ChatGPT 正是運用深度學習 (Deep Learning) 技術打造而成的熱門 LLM 應用。□【★徹底看懂 LLM 核心建模技術 - GPT、Transformer 的模型架構】自從 ChatGPT 爆紅之後，LLM 建模技術一直是熱門的研究話題，ChatGPT 的背後核心是 GPT 模型，而 GPT 裡面最重要的技術就是最後那個「T」- 也就是大名鼎鼎、使用了 attention (注意力) 機制的 Transformer 模型，這當中所用的建模技術可說是一環扣一環，也容易讓初學者學起來暈得不得了，只要一個關鍵地方沒搞懂，後面就全花了...為此，本書經過精心設計，是帶你看懂 GPT、Transformer、attention...這些 LLM 關鍵技術的最佳救星！本書設計了「環環相扣」的 NLP 章節內容，循序漸進介紹 LLM 的基礎建模技術：🔹看懂循環神經網路 (RNN、LSTM) 的缺點就知道為什麼需要 attention 機制以及 seq2seq 架構🔹看懂 attention 機制就能看懂 Transformer 的 self-attention 神經層🔹看懂 seq2seq 架構就能看懂 Transformer 的 encoder-decoder 架構🔹看懂 Transformer 就能看懂 GPT你可以深刻感受到次一章的模型架構幾乎都是為了解決前一章模型的不足之處而誕生的，經此一輪學習下來，保證讓你對 GPT、Transformer、attention / self-attention 等技術清清楚楚！這絕對是其他書看不到的精彩內容！【★學 LLM 基礎，跟 AI 重要推手 - NVIDIA 學最到位！】NVIDIA 除了在硬體上為 AI 帶來助益外，為了幫助眾多初學者快速上手 LLM 用到的深度學習基礎，任職於 NVIDIA 的本書作者 Magnus Ekman 凝聚了他多年來在 N

這本書引導讀者從廣闊的人工智慧來到深度學習的核心概念，深化對機器學習的理解，並揭示電腦視覺如何利用機器學習來模仿和擴展人類的視覺能力。深度學習顯著提升了電腦視覺技術的效能，而成功的電腦視覺案例又進一步推進深度學習領域的發展，形成一個良性循環。　書中不僅提供扎實的理論基礎，更搭配豐富實用的範例，這些範例都是用強大且被廣泛運用的 Python 程式語言編寫。透過這些範例，讀者能更直觀地掌握書中所述的概念，並將理論付諸實踐。　本書特別為對影像處理與電腦視覺懷抱熱情的讀者而設計，無論是大學部或研究所的學生，或是渴望自學精進的其他族群，都能從中獲益良多。

In Synthetic Vision: Using Volume Learning and Visual DNA, a holistic model of the human visual system is developed into a working model in C++, informed by the latest neuroscience, DNN, and computer

Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of suc

The First International Conference on Advancement of Computer, Communication and Electrical Technology focuses on the key technologies and recent progress on computer vision, information technology ap

Ubiquitous computing has a vision of information and interaction being embedded in the world around us; this forms the basis of this book. Built environments are subjects of design and architects have

Felix Klein, one of the great nineteenth-century geometers, discovered in mathematics an idea prefigured in Buddhist mythology: the heaven of Indra contained a net of pearls, each of which was reflected in its neighbour, so that the whole Universe was mirrored in each pearl. Klein studied infinitely repeated reflections and was led to forms with multiple coexisting symmetries. For a century, these images barely existed outside the imagination of mathematicians. However, in the 1980s, the authors embarked on the first computer exploration of Klein's vision, and in doing so found many further extraordinary images. Join the authors on the path from basic mathematical ideas to the simple algorithms that create the delicate fractal filigrees, most of which have never appeared in print before. Beginners can follow the step-by-step instructions for writing programs that generate the images. Others can see how the images relate to ideas at the forefront of research.

Builders of the Vision traces the intellectual history and contemporary practices of Computer-Aided Design since the years following World War II until today. Drawing from primary archival and ethnogr

Builders of the Vision traces the intellectual history and contemporary practices of Computer-Aided Design since the years following World War II until today. Drawing from primary archival and ethnogr