Download or read book Guide de l IA g n rative written by Cyril de Sousa Cardoso and published by . This book was released on 2023-10-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Comprehensive Guide to Generative AI with Keras written by Anand Vemula and published by Independently Published. This book was released on 2024-06-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Guide to Generative AI with Keras: Concepts, Implementations, and Applications" provides an in-depth exploration of generative artificial intelligence (AI) using the Keras framework. Authored as a comprehensive resource, this book is tailored for both beginners and experienced practitioners seeking to delve into the exciting field of generative AI. The book begins with an introduction to generative AI, elucidating its fundamental principles and distinguishing it from discriminative models. It then offers an overview of Keras, a user-friendly deep learning library widely favored for its intuitive design and powerful capabilities. Practicality is central to this guide, as each chapter unfolds with hands-on examples, case studies, and complete coding tutorials. Starting with the basics of generative models like autoencoders and GANs, readers are equipped with the skills to build and deploy these models using Keras. Applications ranging from image denoising to text generation illustrate the versatility and real-world impact of generative AI. Special emphasis is placed on advanced techniques such as transformer-based models, pivotal for natural language processing tasks like text generation and translation. Readers learn to construct and fine-tune transformer architectures using Keras, facilitating the creation of sophisticated language models. Evaluation and metrics receive comprehensive coverage, offering insights into assessing model performance across diverse generative tasks. The book also addresses ethical considerations inherent in AI development, ensuring readers grasp the implications and responsibilities associated with generative technologies. Projects featured in the latter chapters provide practical avenues for applying generative AI in creative domains such as art, music, and interactive installations. These projects not only reinforce theoretical knowledge but also encourage experimentation and innovation. In conclusion, "Comprehensive Guide to Generative AI with Keras" serves as an indispensable resource for aspiring AI practitioners and researchers. Its blend of theoretical foundations, practical implementation, and ethical awareness equips readers with the tools and insights needed to navigate and contribute to the evolving landscape of generative AI.

Download or read book Generative AI with Python and TensorFlow written by Anand Vemula and published by Independently Published. This book was released on 2024-07-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI with Python and TensorFlow: A Complete Guide to Mastering AI Models is a comprehensive resource for anyone looking to delve into the world of generative artificial intelligence. Introduction Overview of Generative AI: Understand the basic concepts, history, and significance of generative AI. Importance of Generative AI: Learn about the transformative potential of generative AI in various industries. Applications and Use Cases: Explore real-world applications of generative AI in fields such as art, music, text generation, and data augmentation. Overview of Python and TensorFlow: Get an introduction to the essential tools and libraries used for building generative AI models. Getting Started: Set up your development environment, install necessary libraries, and take your first steps with TensorFlow. Fundamentals of Machine Learning Supervised vs. Unsupervised Learning: Understand the differences and use cases of these two primary types of machine learning. Neural Networks Basics: Learn the fundamental concepts of neural networks and their role in AI. Introduction to Deep Learning: Dive deeper into the advanced techniques of deep learning and its applications in generative AI. Key Concepts in Generative AI: Familiarize yourself with the essential concepts and terminologies in generative AI. Generative Models Understanding Generative Models: Explore the theoretical foundations of generative models. Types of Generative Models: Learn about various types of generative models, including VAEs, GANs, autoregressive models, and flow-based models. Variational Autoencoders (VAEs): Delve into the theory behind VAEs, build and train VAEs with TensorFlow, and explore their use cases. Generative Adversarial Networks (GANs): Get introduced to GANs, understand their architecture, implement GANs with TensorFlow, and learn advanced GAN techniques. Autoregressive Models: Understand autoregressive models, implement them with TensorFlow, and explore their applications. Flow-based Models: Learn about flow-based models, build them with TensorFlow, and explore their practical applications. Advanced Topics Transfer Learning for Generative Models: Explore how transfer learning can be applied to generative models. Conditional Generative Models: Understand and implement models that generate outputs conditioned on specific inputs. Multimodal Generative Models: Learn about models that can generate multiple types of data simultaneously. Reinforcement Learning in Generative AI: Explore the intersection of reinforcement learning and generative AI. Practical Applications Image Generation and Style Transfer: Create stunning images and apply style transfer techniques. Text Generation and Natural Language Processing: Generate coherent and contextually relevant text using advanced NLP techniques. Music and Sound Generation: Compose music and generate new sounds using generative AI. Data Augmentation for Machine Learning: Improve your machine learning models by augmenting your datasets with generative models. Hands-On Projects Project 1: Creating Art with GANs: Step-by-step guide to building a GAN to generate art. Project 2: Text Generation with LSTM: Implement an LSTM model for generating text. Project 3: Building a VAE for Image Reconstruction: Learn how to build and train a VAE for image reconstruction. Project 4: Music Generation with RNNs: Create a music generation model using RNNs.

Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, 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, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Download or read book AI and Machine Learning for Coders written by Laurence Moroney and published by O'Reilly Media. This book was released on 2020-10-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Download or read book Ma triser l IA g n rative dans la communication et le marketing written by Eliott Maidenberg and published by . This book was released on 2024-03-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Health Professional s Drug Guide written by and published by . This book was released on 2015 with total page 1868 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2018-03-16 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

Download or read book A Topical Guide to Schenkerian Literature written by David Carson Berry and published by Pendragon Press. This book was released on 2004 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: To the growing list of Pendragon Press publications devoted to the work of Heinrich Schenker, we wish to announce the addition of this much-needed bibliography. The author, a student of Allen Forte, has created a work useful to a wide range of researchers music theorists, musicologists, music librarians and teachers. The Guide is the largest Schenkerian reference work ever published. At nearly 600 pages, it contains 3600 entries (2200 principal, 1400 secondary) representing the work of 1475 authors. Fifteen broad groupings encompass seventy topical headings, many of which are divided and subdivided again, resulting in a total of 271 headings under which entries are collected.

Download or read book A Guide to Teaching Developmental Psychology written by Elizabeth Brestan Knight and published by John Wiley & Sons. This book was released on 2009-01-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of the Blackwell Series on Teaching Psychological Science, this practical, hands-on guide shares ideas, tips, and strategies for effectively teaching lifespan developmental psychology to undergraduates. Provides a unique wealth of concrete suggestions and a clear roadmap for successfully teaching developmental psychology Links chapters to major areas of a lifespan development course, including Research Methods, Teaching Infant Development, and Teaching Adolescent Development Offers practical, hands-on tips for novice teachers and experienced instructors alike Includes sample syllabi and lecture outlines, reading quizzes, critical thinking assignments, and references for helpful videotapes and websites

Download or read book The Vocabulary of Modern French written by Hilary Wise and published by Routledge. This book was released on 2003-10-04 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Vocabulary of Modern French provides a fresh insight into contemporary French. With this book, Hilary Wise offers the first comprehensive overview of the modern French vocabulary: its historical sources, formal organisation and social and stylistic functions. Topics covered include: * external influences on the language * word formation * semantic change * style and register In addition, the author looks at the relationship between social and lexical change and examines attempts at intervention in the development of the language. Each chapter is concluded by notes for further reading, and by suggestions for project work which are designed to increase awareness of specific lexical phenomena and enable the student-reader to use lexicographic databases of all kinds. The Vocabulary of Modern French is an accessible and fascinating study of the relationship between a nation and its language, as well as providing a key text for all students of modern French.

Download or read book Resources in Education written by and published by . This book was released on 1985 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Designing Autonomous AI written by Kence Anderson and published by "O'Reilly Media, Inc.". This book was released on 2022-06-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs

Download or read book Possible Minds written by John Brockman and published by Penguin. This book was released on 2019-02-19 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science world luminary John Brockman assembles twenty-five of the most important scientific minds, people who have been thinking about the field artificial intelligence for most of their careers, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to be human. "Artificial intelligence is today's story--the story behind all other stories. It is the Second Coming and the Apocalypse at the same time: Good AI versus evil AI." --John Brockman More than sixty years ago, mathematician-philosopher Norbert Wiener published a book on the place of machines in society that ended with a warning: "we shall never receive the right answers to our questions unless we ask the right questions.... The hour is very late, and the choice of good and evil knocks at our door." In the wake of advances in unsupervised, self-improving machine learning, a small but influential community of thinkers is considering Wiener's words again. In Possible Minds, John Brockman gathers their disparate visions of where AI might be taking us. The fruit of the long history of Brockman's profound engagement with the most important scientific minds who have been thinking about AI--from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram--Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures, such as computer scientist Stuart Russell, Skype co-founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, notably robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching and authoritative, Possible Minds lays out the intellectual landscape of one of the most important topics of our time.