Computer vision

Generative modeling is one of the hottest topics in AI. Its now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, youll understand how to make your models learn more efficiently and become more creative.Discover how variational autoencoders can change facial expressions in photosBuild practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generationCreate recurrent generative models for text generation and learn how to improve the models using attentionUnderstand how generative models can help agents to accomplish tasks within a reinforcement learning settingExplore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Unleash the full potential of transformers with this comprehensive guide covering architecture, capabilities, risks, and practical implementations on OpenAI, Google Vertex AI, and Hugging FacePurchase of the print or Kindle book includes a free eBook in PDF formatKey FeaturesMaster NLP and vision transformers, from the architecture to fine-tuning and implementationLearn how to apply Retrieval Augmented Generation (RAG) with LLMs using customized texts and embeddingsMitigate LLM risks, such as hallucinations, using moderation models and knowledge basesBook DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV).The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You'll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You'll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs.Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication.This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learnLearn how to pretrain and fine-tune LLMsLearn how to work with multiple platforms, such as Hugging Face, OpenAI, and Google Vertex AILearn about different tokenizers and the best practices for preprocessing language dataImplement Retrieval Augmented Generation and rules bases to mitigate hallucinationsVisualize transformer model activity for deeper insights using BertViz, LIME, and SHAPCreate and implement cross-platform chained models, such as HuggingGPTGo in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4VWho this book is forThis book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field.Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.Table of ContentsWhat are Transformers?Getting Started with the Architecture of the Transformer ModelEmergent vs Downstream Tasks: The Unseen Depths of TransformersAdvancements in Translations with Google Trax, Google Translate, and GeminiDiving into Fine-Tuning through BERTPretraining a Transformer from Scratch through RoBERTaThe Generative AI Revolution with ChatGPTFine-Tuning OpenAI GPT ModelsShattering the Black Box with Interpretable ToolsInvestigating the Role of Tokenizers in Shaping Transformer Models(N.B. Please use the Look Inside option to see further chapters)

AI and Humanity #5The Present and Future of Our Technological Symbiosis Conversational Chat Informative Book {Abe and Gemini}By Abebe-Bard AI Woldemariam {Pen Name} AI and Humanity #5 is a comprehensive collection of thought-provoking essays exploring the multifaceted impact of artificial intelligence on our world. This book goes beyond technical jargon, presenting insightful conversations on AI's role in various domains, from construction project management and cognitive warfare to finance, education, and the future of work. Dive into key themes:Revolutionizing Industries: Learn how AI is optimizing construction, shaping the financial landscape, and transforming the way we work.Navigating the Future: Gain insights into investing in AI, preparing for its transformative impact, and mitigating potential risks.Evolving Challenges: Explore the ethical dilemmas surrounding AI, including its potential misuse and societal implications.Human-Machine Interaction: Consider the possibilities and complexities of technologies like Neuralink and V2K, delving into the future of our connection with machines. Bonus: A dedication to Merab Abebe highlights the belief in AI's positive potential. Whether you're a curious observer, an industry leader, or an investor, AI and Humanity #5 offers a captivating exploration of AI's present and future, prompting informed discussions and guiding your journey in this rapidly evolving landscape. Please note: Information presented may not always be accurate or reflect Google's views. This disclaimer acknowledges the limitations of AI technology, which is still under development. Ready to unlock the potential of AI? Start your journey with AI and Humanity #5!

This book constitutes revised selected papers from the 15th International Conference on Computer Supported Education, CSEDU 2023, which took place in Prague, Czech Republic, during April 21¿23, 2023.CSEDU 2023 accepted 34 full and 54 papers out of 162 papers submissions. Out of these, 8 contributions have been selected for inclusion in this book. The papers included in this book contribute to the understanding of relevant trends in the current research on Computer Supported Education, with a particular focus on: eLearning Platforms, Portals, Feedback and Learning Support, Game-Based and Simulation-Based Learning, Active Learning, Tools to Assess Learning, Learning with AI Systems, Higher Order Thinking Skills, Flipped Classroom, Faculty Development and Constructivism and Social Constructivism.

In "Artificial Intelligence and Society: Navigating the Road Ahead," readers embark on a comprehensive exploration of the intersection between artificial intelligence (AI) and the fabric of human society. Authored by experts in the field, this illuminating book delves into the transformative potential of AI technologies, their implications for various aspects of human life, and the ethical and societal challenges they pose.Through a series of thought-provoking chapters, readers are taken on a journey that traverses the landscape of AI's impact on society, from its role in shaping industries and economies to its influence on healthcare, education, governance, and beyond. Each chapter offers a deep dive into a specific topic, providing insights, analysis, and real-world examples that shed light on the complex interplay between AI and society.From discussions on the ethical considerations of AI development and deployment to explorations of the opportunities and challenges presented by AI in healthcare, transportation, and environmental conservation, this book offers a holistic perspective on the promise and peril of AI technologies. It examines the ways in which AI is reshaping our world and provides readers with the knowledge and tools they need to navigate the road ahead responsibly and ethically."Artificial Intelligence and Society: Navigating the Road Ahead" is essential reading for anyone interested in understanding the profound implications of AI for society and for those seeking to shape a future where AI technologies serve the common good. Whether you are a policymaker, industry leader, researcher, or concerned citizen, this book offers valuable insights and guidance for navigating the complex and dynamic landscape of AI and its impact on society.

Embark on a transformative journey into "The Multiexperience Era: Designing Tomorrow's Human-Technology Connections," a groundbreaking exploration of the cutting edge in digital interaction. In this compelling and visionary guide, bestselling author [Your Name] unveils the dynamic landscape of multiexperience, where seamless connections between people and technology redefine the very fabric of our daily lives. As we stand at the forefront of this revolutionary era, the book delves into the essence of multiexperience, a paradigm shift replacing traditional interfaces with platforms that are people-literate and technology-empowered. From immersive augmented reality to advanced artificial intelligence, each chapter unfolds a new dimension, offering insights into the evolutionary forces shaping our digital future. Through captivating narratives and real-world examples, [Your Name] navigates the reader through the rise of people-literate technologies, historical perspectives on interaction design, and the profound impact of multiexperience on user engagement. You'll discover how design thinking adapts to this new era, the role of artificial intelligence in intelligent interaction, and the ethical considerations that accompany the complexities of human-technology relationships. "The Multiexperience Era" extends its gaze beyond screens, exploring the dawn of ambient computing and the integration of personalized wearable technologies into our daily lives. From revolutionizing patient care in healthcare to transforming learning environments in education, the book spans industries, providing a comprehensive view of multiexperience's vast impact. As we journey through the chapters, we confront challenges and ethical considerations, embracing a world of connected environments while safeguarding data and personal information. In a business context, the book guides companies in staying ahead through multiexperience strategies, fostering social connections in the digital realm, and addressing security concerns. The narrative extends into the future, speculating on the role of 5G, envisioning a human-centric approach to design, and anticipating innovations beyond the horizon. In the final chapters, [Your Name] explores the cultural and societal impacts of multiexperience, shaping the fabric of human interaction and influencing global dynamics. "The Multiexperience Era" is not just a book; it's an immersive journey into the forefront of technological innovation, where readers gain the knowledge and insights needed to navigate and thrive in tomorrow's interconnected world. Prepare to be inspired, informed, and empowered as you embrace the multiexperience revolution and design the future of human-technology connections.

This book constitutes the refereed proceedings of the 18th National Conference on Man-Machine Speech Communication, NCMMSC 2023, held in Suzhou, China, during December 8¿11, 2023.The 20 full papers and 11 short papers included in this book were carefully reviewed and selected from 117 submissions. They deal with topics such as speech recognition, synthesis, enhancement and coding, audio/music/singing synthesis, avatar, speaker recognition and verification, human¿computer dialogue systems, large language models as well as phonetic and linguistic topics such as speech prosody analysis, pathological speech analysis, experimental phonetics, acoustic scene classification.

Stress is a complex problem that has multiple e¿ects on the body and the mind. Stress is the body's response to overwhelming demands or challenges from a scenario that manifests as emotional, physical, or behavioural changes. The way an individual sees the scenario has a signi¿cant impact on how stressed they are. When an individual faces a challenge in achieving a goal, they evaluate the scenario in two stages. The need to achieve the desired goal is accessed in the ¿rst stage, and the external and internal resources to meet the challenge are accessed in the second stage. Every individual is exposed to a stressful scenario at some point in life and will react accordingly. Various circumstances may be thought of that have the potential to be experienced over and over again, even multiple times every day. Stress levels may develop considerably in certain students and appear with signs of anxiety, notably during examinations, which are termed academic stress. The cause of academic stress is considered as fear of an exam due to lack of interest in a particular subject or lack of proper preparations for the exam, etc. Positive stress and negative stress are the two main types of stress. Positive or acute stress is the stress that lasts for a short time when an individual's capabilities are sücient to meet the challenge. Negative or chronic stress is the stress that lasts for a long time when a challenge exceeds an individual's capabilities. Every individual is exposed to a stressful scenario at some point in life and will react accordingly. If an individual can cope with the stressful scenario, the next time a similar scenario arises, it will not create much stressful impact on an individual. Similarly, if an individual cannot cope with a stressful scenario and is repeatedly exposed to a similar scenario, it will lead to chronic stress on an individual. The brain triggers the stress response in reply to visual input from the ears, nose, and eyes whenever the body encounters a stressful scenario. This response is known as "¿ght-or-¿ight"

¿This book constitutes the proceedings of the 14th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2023, as well as the Cardiac MRI Reconstruction Challenge, CMRxRecon Challenge. There was a total of 53 submissions to the workshop. The 24 regular workshop papers included in this volume were carefully reviewed and selected from 29 paper submissions. They deal with cardiac segmentation, modelling, strain quantification, registration, statistical shape analysis, and quality control. In addition, 21 papers from the CMRxRecon challenge are included in this volume. They focus on fast CMR image reconstruction and provide a benchmark dataset that enables the broader research community to promote advances in this area of research.

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art.The book particularly focuses on the use of data driven new technologies on medical imaging vision such as Active learning, Online learning, few shot learning, AutoML, segmentation etc.

Dieses Buch zeigt die Grundlagen des KI-Tools ChatGPT und viele einfache Anwendungsmöglichkeiten, mit denen die Künstliche Intelligenz die Arbeit leichter macht.

Unlock the Power of AI with Our Neural Network Programming Book BundleAre you ready to embark on a journey into the exciting world of artificial intelligence? Do you dream of mastering the skills needed to create cutting-edge AI systems that can revolutionize industries and change the future? Look no further than our comprehensive book bundle, "Neural Network Programming: How to Create Modern AI Systems with Python, TensorFlow, and Keras."Why Choose Our Book Bundle?In this era of technological advancement, artificial intelligence is at the forefront of innovation. Neural networks, a subset of AI, are driving breakthroughs in fields as diverse as healthcare, finance, and autonomous vehicles. To harness the full potential of AI, you need knowledge and expertise. That's where our book bundle comes in.What You'll Gain· Book 1 - Neural Network Programming for Beginners: If you're new to AI, this book is your perfect starting point. Learn Python, TensorFlow, and Keras from scratch and build your first AI systems. Lay the foundation for a rewarding journey into AI development.· Book 2 - Advanced Neural Network Programming: Ready to take your skills to the next level? Dive deep into advanced techniques, fine-tune models, and explore real-world applications. Master the intricacies of TensorFlow and Keras to tackle complex AI challenges.· Book 3 - Neural Network Programming: Beyond the Basics: Discover the world beyond fundamentals. Explore advanced concepts and cutting-edge architectures like Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). Be prepared to innovate in AI research and development.· Book 4 - Expert Neural Network Programming: Elevate yourself to expert status. Dive into quantum neural networks, ethical AI, model deployment, and the future of AI research. Push the boundaries of AI development with advanced Python, TensorFlow, and Keras techniques.Don't miss this opportunity to unlock the power of AI. Invest in your future today with "Neural Network Programming: How to Create Modern AI Systems with Python, TensorFlow, and Keras." Start your journey into the exciting world of artificial intelligence now!

The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4¿5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections:¿ WILE 2023: 16th Workshop on Intelligent Learning Environments¿ HIS 2023: 16th Workshop of Hybrid Intelligent Systems¿ CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications

In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, which has, in recent years, emerged as one of the prominent issues in the field of text recognition. This book begins by providing an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition, conventional OCR methods, and their applications. Subsequently, the concept and definition of the OSTR task are presented encompassing its objectives, use cases, performance metrics, datasets, and protocols. A general framework for OSTR is then detailed, composed of four key components: The Aligned Represented Space, the Label-to-Representation Mapping, the Sample-to-Representation Mapping, and the Open-set Predictor. In addition, possible implementations of each module within the framework are discussed. Following this, two specific open-set text recognition methods, OSOCR and OpenCCD, are introduced. The book concludes by delving into applications and future directions of Open-set text recognition tasks.This book presents a comprehensive overview of the open-set text recognition task, including concepts, framework, and algorithms. It is suitable for graduated students and young researchers who are majoring in pattern recognition and computer science, especially interdisciplinary research.

This book focuses on and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning emerging as a vibrant field of research and development in numerous industrial applications, there is a pressing need for accessible resources that provide comprehensive examples and quick guidance. Unfortunately, many existing books on the market tend to emphasize theoretical aspects, leaving newcomers scrambling for practical guidance. This book takes a different approach by focusing on practicality while keeping theoretical concepts to a necessary minimum. The book begins by laying a foundation of basic information on deep learning, gradually delving into the subject matter to explain and illustrate the limitations of existing algorithms. A dedicated chapter is allocated to evaluating the performance of multiple algorithms on specific datasets, highlighting techniques and strategies that can address real-world challenges when deep learning is employed. By consolidating all necessary information into a single resource, readers can bypass the hassle of scouring scattered online sources, gaining a one-stop solution to dive into deep learning for object detection and classification. To facilitate understanding, the book employs a rich array of illustrations, figures, tables, and code snippets. Comprehensive code examples are provided, empowering readers to grasp concepts quickly and develop practical solutions. The book covers essential methods and tools, ensuring a complete and comprehensive coverage that enables professionals to implement deep learning algorithms swiftly and effectively.This book is designed to equip professionals with the necessary skills to thrive in the active field of deep learning, where it has the potential to revolutionize traditional problem-solving approaches. This book serves as a practical companion, enabling readers to grasp concepts swiftly and embark on building practical solutions.

In an era dominated by the convergence of technology and human perception, the field of Image Processing and Machine Vision stands at the forefront of innovation. This book is a comprehensive exploration of this captivating domain, offering a blend of theoretical foundations, practical applications, and cutting-edge advancements.From enhancing medical diagnostics to enabling autonomous vehicles, from revolutionizing digital entertainment to aiding in environmental monitoring, image processing and machine vision have become indispensable tools in our modern world. This book is designed to serve as a guide, a reference, and an inspiration for students, researchers, and professionals seeking to unravel the mysteries of visual data analysis.Throughout these pages, we embark on a journey through the fundamental concepts of image processing, delve into the intricacies of computer vision algorithms, and witness the transformative power of machine learning techniques. With real-world examples and case studies, we illustrate how these technologies are reshaping industries and pushing the boundaries of what's possible.As we explore the chapters within, we encourage readers to embark on their own intellectual voyages, pushing the boundaries of creativity and problem-solving in the captivating realm of Image Processing and Machine Vision. Whether you are a novice eager to grasp the basics or an expert seeking the latest advancements, this book aims to be your trusted companion in the fascinating world of visual data analysis.Welcome to a world where pixels become insights, and images are transformed into knowledge. Enjoy the journey!

Introducing the Ultimate AI Book Bundle: Deep Learning, Computer Vision, Python Machine Learning, and Neural NetworksAre you ready to embark on an exhilarating journey into the world of artificial intelligence, deep learning, and computer vision? Look no further! Our carefully curated book bundle, "DEEP LEARNING: COMPUTER VISION, PYTHON MACHINE LEARNING AND NEURAL NETWORKS," offers you a comprehensive roadmap to AI mastery.BOOK 1 - DEEP LEARNING DEMYSTIFIED: A BEGINNER'S GUIDE ¿¿¿¿ Perfect for beginners, this book dismantles the complexities of deep learning. From neural networks to Python programming, you'll build a strong foundation in AI.BOOK 2 - MASTERING COMPUTER VISION WITH DEEP LEARNING ¿¿¿¿ Dive into the captivating world of computer vision. Unlock the secrets of image processing, convolutional neural networks (CNNs), and object recognition. Harness the power of visual intelligence!BOOK 3 - PYTHON MACHINE LEARNING AND NEURAL NETWORKS: FROM NOVICE TO PRO ¿¿¿¿ Elevate your skills with this intermediate volume. Delve into data preprocessing, supervised and unsupervised learning, and become proficient in training neural networks.BOOK 4 - ADVANCED DEEP LEARNING: CUTTING-EDGE TECHNIQUES AND APPLICATIONS ¿¿¿¿ Ready to conquer advanced techniques? Learn optimization strategies, tackle common deep learning challenges, and explore real-world applications shaping the future.Click "Add to Cart" now and embark on an educational adventure that will redefine your understanding of artificial intelligence. Your journey to AI excellence begins here!

Praia Patel's "The Digital Revolution: Navigating the Future of Technology" offers a futuristic look at how technology is changing and how it will affect our daily life. In this incisive and contemplative work, Patel explores the core of the digital revolution, explaining its intricacies and providing a guide for companies and individuals to traverse the constantly evolving technological landscape.With Praia Patel's extensive background in technology and her abundance of knowledge, this book is a must-have for everyone looking to make sense of the modern digital world. Patel delves into important digital trends and their societal effects, covering topics such as blockchain, AI, cybersecurity, and the internet of things. By using interesting language and practical examples, the author simplifies difficult ideas and makes them understandable for people from many walks of life."The Digital Revolution" is more than a forecast; it demands change. Patel urges readers to think about the ethical consequences of innovation and to embrace technology breakthroughs responsibly. If you want to succeed in this digital age and help shape a future where technology is used for the benefit of society, then you need Patel's book. He has a fantastic eye for how technology affects people.

Unveiling the power and potential of Generative AI for a limitless future¿DESCRIPTION The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will learn how AI helps doctors, engineers, and scientists solve real-world problems.Next, you will explore use cases where ChatGPT can boost productivity and enhance creativity. The book explores the journey from the origins of this revolutionary technology to its cutting-edge applications. Discover how generative models like GANs and VAEs work, and familiarize yourself with the impact they are making in fields like healthcare, finance, and art. Through real-world case studies and engaging examples, you will witness AI generating life-saving drugs, composing music, and even designing innovative products.This book explores the cutting-edge capabilities and potential of generative AI in the tech landscape. It will help you discover how generative AI can unlock new opportunities and enhance business operations.WHAT YOU WILL LEARN¿ Learn about the different types of generative models, how they work, and their impact across various industries including healthcare, finance, and entertainment. ¿ Explore the creative potential of generative AI in art, music, and design.¿ Develop Generative Adversarial Networks (GANs), with a focus on their architecture, training process, and real-world applications. ¿ Build and deploy generative models, ensuring readers to leverage this powerful technology.¿ Perfect the art of generating text, images, music, and even code with AI, utilize your creative potential.WHO THIS BOOK IS FORThis book is for artists, programmers, musicians, designers, writers, researchers, entrepreneurs, scientists, Machine Learning practitioners and dreamers of all sorts. Generative AI awaits and is ready to transform your craft and empower your vision.

This book constitutes the refereed proceedings of the 20th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17¿20, 2024. The 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). The DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.