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Author: Jack Wylder Publisher: Baen Books ISBN: 1625799128 Category : Art Languages : en Pages : 157
Book Description
The history of art is the history of civilization itself. With the rise of computers, it wasn’t long before humans began to explore using them to generate artwork. Using artificial intelligence to generate random artwork within set parameters began back in at least 1973 and has slowly been growing in complexity and ability. Recent breakthroughs have resulted in millions of eager users now racing to create their own art with this new technology. The ability to make anything can be daunting for new users, though. Where do you even start? How do you make stunning images like you see online? What inspirations do you draw from and how do you put them together? This book is intended to serve as a handy reference guide for users, both new and more experienced. Using a unique and whimsical collection of cats and dogs, in Section One author Jack Wylder provides users with visual representations of different artists who can serve as inspiration for their own art. Section Two dives more into the different Artistic Movements and styles possible, while Section Three covers a miscellany of different commands for the AI to interpret, and the final section. Section Four, touches on the basics of composition and how to put together the assets generated into a cohesive whole. Artists interested in the latest developments in Art, as well as fans of cats, dogs, animals, and art history will also find plenty of interesting artwork to peruse. An Illustrated Guide to AI Prompt Mastery is a valuable reference to this fascinating new field that is emerging. At the publisher's request, this title is sold without DRM (Digital Rights Management).
Author: Jack Wylder Publisher: Baen Books ISBN: 1625799128 Category : Art Languages : en Pages : 157
Book Description
The history of art is the history of civilization itself. With the rise of computers, it wasn’t long before humans began to explore using them to generate artwork. Using artificial intelligence to generate random artwork within set parameters began back in at least 1973 and has slowly been growing in complexity and ability. Recent breakthroughs have resulted in millions of eager users now racing to create their own art with this new technology. The ability to make anything can be daunting for new users, though. Where do you even start? How do you make stunning images like you see online? What inspirations do you draw from and how do you put them together? This book is intended to serve as a handy reference guide for users, both new and more experienced. Using a unique and whimsical collection of cats and dogs, in Section One author Jack Wylder provides users with visual representations of different artists who can serve as inspiration for their own art. Section Two dives more into the different Artistic Movements and styles possible, while Section Three covers a miscellany of different commands for the AI to interpret, and the final section. Section Four, touches on the basics of composition and how to put together the assets generated into a cohesive whole. Artists interested in the latest developments in Art, as well as fans of cats, dogs, animals, and art history will also find plenty of interesting artwork to peruse. An Illustrated Guide to AI Prompt Mastery is a valuable reference to this fascinating new field that is emerging. At the publisher's request, this title is sold without DRM (Digital Rights Management).
Author: Kevin Ashley Publisher: ISBN: Category : Languages : en Pages : 186
Book Description
MAKE ART with Artificial Intelligence A guide on practical artificial intelligence for drawing, art, illustration, and design - for everyone interested in creativity, art, and technology. The book has hundreds of original illustrations made or augmented with AI, 20+ online and video tutorials, 35+ Python notebooks, a GitHub repository and a blockchain art gallery. Written and illustrated by Kevin Ashley, a Microsoft developer hall of fame engineer, and an author of books and courses on artificial intelligence. Think of this book as v3.0 of your drawing class manual on how to sketch, draw faces, emotions, body poses, landscapes, apply light, color, style, emotion, expressions, perspective, generate animations, speech and more with artificial intelligence. All artwork from this book is created or augmented with machine learning and available in online NFT gallery, as well as tutorials and practical examples. The impact of this book in data science community inspired a group of Microsoft engineers and data scientists to implement a project they called Azure Picasso to streamline the path from a conceptual artwork, enhanced with artificial intelligence to publishing art in online galleries. FROM REVIEWS This is similar to the best lecture classes I had in college where the professor talked in class about the concepts and fundamentals but then gave us homework that would let us experiment and try out the concepts hands-on. As an artist who has 30 years of artwork looking to share, I love this book because it's approachable to the novice and useful to the expert. EDITIONS Beautiful Paperback, 8x10, color edition, more illustrations than the e-book, reads like an art book, beautiful print and high-quality paper. eBook - easy to read on phones, tablets and online readers, reflowing text, great for practical tutorials, as the book has many links to tutorials. CONTENTS Getting Started (History of Art and AI - Drawing - Sketching - Action and Poses - Landscapes and Scenery - Animation - Selling your Art) Creative Tools (Traditional tools - Digital tools - AI Tools - Python - Notebooks - Practice Studies). Neural Networks for Art (Neurons - Neural networks - Supervised learning - Unsupervised learning - Generative Adversarial Networks - Machine Learning Models and Training - Reinforcement learning - Practice Studies) Drawing and Sketching with AI (Sketching - Improving Sketches with AI - Childhood Drawings - Creativity - Inking - Shading and Light - Coloring - Practice Studies) Faces and Facial Expressions (How AI recognizes human faces - Facial features - Emotions - 3D Faces - Cartoons and Caricature - Anime and Manga - Generating Faces with AI) Pose and Actions with AI (Action with AI - Keypoints - Pose Estimation - Drawing Human Body - Human Pose Datasets - Perspective and Depth) Landscapes and Scenery (Landscapes - Generating Landscapes - AI Models and Methods for Landscapes - Practice Studies) Style and Content (Style and Style Transfer in Art and AI - Generative Adversarial Networks - Creative Style) Animation with AI (History of Animation - 12 Principles of Animation - Using AI for Animation - Animating Speech, Lips and Faces) How to Sell your Art with Blockchain and NFT (Why Blockchain - Smart Contracts and NFTs - Creating a Crypto Wallet - Creating your Gallery - Listing for Sale - Getting Paid) The book comes with online tutorials, including assets, resources and notebooks for artists, data scientists or engineers. With basic Python you can create stunning works of art, but the knowledge of Python is not required. Enjoy this unique and insightful book!
Author: Jon Krohn Publisher: Addison-Wesley Professional ISBN: 0135121728 Category : Computers Languages : en Pages : 725
Book Description
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Soraya Sedkaoui Publisher: John Wiley & Sons ISBN: 1394325487 Category : Computers Languages : en Pages : 244
Book Description
The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason; this mental alchemy is the source of genius. A new synergy is emerging between human ingenuity and the computational capacity of generative AI models. Automated Data Analytics focuses on this fruitful collaboration between the two to unlock the full potential of data analysis. Together, human ethics and algorithmic productivity have created an alloy stronger than the sum of its parts. The future belongs to this symbiosis between heart and mind, human and machine. If we succeed in harmoniously combining our strengths, it will only be a matter of time before we discover new analytical horizons. This book sets out the foundations of this promising partnership, in which everyone makes their contribution to a common work of considerable scope. History is being forged before our very eyes. It is our responsibility to write it wisely, and to collectively pursue the ideal of augmented intelligence progress.
Author: Bolakale Aremu Publisher: AB Publisher LLC ISBN: Category : Computers Languages : en Pages : 169
Book Description
Unlock the Future of Generative AI and Skyrocket Your Career. This book is your comprehensive roadmap from grasping the fundamentals of AI to mastering the tools and techniques that will set you apart in today’s AI-driven world. Perfect for anyone serious about a career in AI, this book bridges the gap between knowledge and action, giving you the tools to earn, build, and innovate with generative AI technologies. Whether you’re building your first AI project or refining your professional skills, this is the guide you’ve been waiting for. Packed with hands-on projects and practical exercises, this book empowers you to build and launch your very own generative AI solutions. By the end, you’ll not only be equipped with in-demand AI skills but also be prepared to launch your AI projects in the real world. Welcome to Generative AI from Beginner to Paid Professional, Part 2: Master Prompt Design, Gemini Multimodal in Vertex AI Studio, LangChain, Launching & Deploying Generative AI Projects. In Part 2 of this transformative guide, you'll delve deep into powerful AI frameworks and cutting-edge technologies, including Gemini Multimodal, Vertex AI Studio, and LangChain, gaining the expertise needed to design custom AI solutions and deploy scalable AI projects. Whether you’re an aspiring professional or a seasoned developer, this book is your step-by-step companion to navigating the evolving landscape of generative AI. What You’ll Learn: 1. Master Prompt Design: Craft perfect prompts that make your AI work for you, no matter the use case. 2. Gemini Multimodal & Vertex AI Studio: Learn to integrate multimodal models into your AI pipeline, revolutionizing how you build intelligent systems that understand and generate both text and images. 3. LangChain for Real-World AI Projects: Leverage LangChain to create robust, API-powered workflows that bring your AI projects to life. 4. Launching & Deploying AI Projects: From conceptualization to deployment, turn your AI ideas into real-world applications with proven strategies.
Author: Robert Bruce Thompson Publisher: "O'Reilly Media, Inc." ISBN: 0596526857 Category : Computers Languages : en Pages : 523
Book Description
Explaining everything a beginner needs to know to get started, this heavily graphical book provides a solid grounding in the fundamental concepts and terminology of astronomy and includes specific advice about choosing, buying, using, and maintaining observing equipment.
Author: Tilman M. Davies Publisher: No Starch Press ISBN: 1593276516 Category : Computers Languages : en Pages : 833
Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Author: Jack Wylder
Author: Jack Wylder
Author: Tula Giannini
Author: Kevin Ashley
Author: Jon Krohn
Author: Soraya Sedkaoui
Author: Bolakale Aremu
Author: Robert Bruce Thompson
Author: Carolyn J. Downey
Author: Tilman M. Davies
Author: