Download or read book A guide from beginner to advanced level in AI image generation written by and published by Beatrix White. This book was released on with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving world of artificial intelligence, the ability to generate lifelike images through AI has captured the imagination of tech enthusiasts, artists, and professionals alike. "A Guide from Beginner to Advanced Level in AI Image Generation" is a comprehensive non-fiction book designed to take readers on an enlightening journey into the heart of AI-driven creativity. This guide stands as a beacon for those eager to explore the vast potential of AI image generation, offering a clear path from foundational concepts to advanced techniques. The book begins by demystifying the core principles behind artificial intelligence and its application in creating images. It introduces readers to the basics of machine learning algorithms, neural networks, and how these technologies converge to simulate human-like creativity in generating visuals. With an emphasis on accessibility, this section ensures that even readers with no prior knowledge of AI can grasp these fascinating concepts. As the guide progresses, it delves deeper into more sophisticated topics such as Generative Adversarial Networks (GANs), Deep Learning, and Convolutional Neural Networks (CNNs). Through engaging explanations and illustrative examples, you will learn how these cutting-edge technologies are used to produce complex and astonishingly realistic images. The book also explores various tools and platforms available for AI image generation, providing practical advice on getting started with your projects. What sets this guide apart is its hands-on approach. Each chapter includes step-by-step tutorials, exercises, and projects designed to reinforce learning and encourage experimentation. Whether you're an artist looking to incorporate AI into your creative process or a developer aiming to harness the power of image generation in your applications, this book offers valuable insights and skills that can be applied across multiple domains. Moreover, "A Guide from Beginner to Advanced Level in AI Image Generation" addresses ethical considerations and challenges associated with AI-generated content. It prompts readers to think critically about issues like copyright infringement, authenticity verification, and the societal impact of indistinguishable real from artificial imagery. Beyond technical mastery, this book inspires creativity and innovation. It showcases groundbreaking works by pioneering artists and developers in the field of AI image generation. These case studies not only highlight what's currently possible but also spark imagination about future advancements. Intended for hobbyists curious about the intersection between technology and artistry; professionals seeking to enhance their toolkit; educators looking for comprehensive teaching material; or simply anyone fascinated by the prospect of creating with AI—this guide serves as an essential resource. "A Guide from Beginner to Advanced Level in AI Image Generation" is more than just a manual; it's a journey into a new frontier of digital creativity. By bridging theoretical knowledge with practical application, it empowers readers not just to understand but also actively participate in shaping the future landscape of visual media through artificial intelligence.

Download or read book INSIDE GENERATIVE AI written by Rick Spair and published by Rick Spair. This book was released on with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI represents a groundbreaking frontier in the realm of artificial intelligence, where machines not only learn from data but also create new data, mimicking the inventive processes of human creativity. This book is a comprehensive guide that explores the depths of generative AI, from foundational concepts to advanced applications, and provides a rich array of hands-on projects and real-world case studies. Why Generative AI? In recent years, generative AI has transformed from a niche area of research to a central pillar of AI innovation, with profound implications for various industries. From generating realistic images and videos to composing music and writing compelling narratives, generative AI models are pushing the boundaries of what machines can do. This evolution has not only expanded the capabilities of AI but also sparked new forms of creative expression and problem-solving. Generative AI's impact is evident in numerous fields: Art and Design: Artists and designers are leveraging AI to create stunning visual artworks, intricate designs, and immersive digital environments. Tools like DeepDream and GauGAN have opened new horizons in artistic creativity, enabling the generation of unique and surreal visuals. Media and Entertainment: The media industry is using generative AI to automate content creation, from news articles to movie scripts, and even to generate entire virtual worlds for video games and virtual reality experiences. AI-generated music and soundtracks are also becoming increasingly popular, offering new ways to enhance auditory experiences. Healthcare: In healthcare, generative AI is aiding in the discovery of new drugs, personalizing treatment plans, and enhancing medical imaging. By generating realistic simulations and models, AI helps researchers and practitioners explore new avenues in medical science. Business and Marketing: Businesses are employing generative AI to create personalized marketing content, design products, and optimize supply chains. AI-driven tools are enabling companies to innovate faster and more efficiently, providing a competitive edge in the market. Dive into the projects, experiment with different models, and engage with the AI community. By learning, creating, and sharing, you become a part of the vibrant and dynamic landscape of generative AI. The future is filled with opportunities, and this book is your gateway to exploring and contributing to the exciting world of generative AI. Welcome to the journey!

Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Download or read book Introduction to Leonardo AI written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-06-04 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to create captivating art but lack traditional artistic skills? Dive into the world of AI art creation with Leonardo AI! This comprehensive beginner's guide empowers you to leverage the power of AI to generate stunning visuals. Master the Art of Prompts: Learn the secrets to crafting clear and concise prompts that guide the AI towards your artistic vision. Discover how to incorporate details, specify styles, and reference existing images to achieve the desired outcome. Explore a World of AI Models: Unveil the diverse artistic styles offered by Leonardo AI's various models. Understand their strengths and weaknesses to choose the perfect one for your creative goals, whether you desire photorealistic landscapes, whimsical cartoons, or dreamlike surreal scenes. Refine Your Creations: Go beyond basic generation with the powerful Canvas Editor. Learn how to add elements, utilize masking tools, and apply AI-powered effects to personalize your AI art and transform it into a masterpiece that reflects your unique artistic voice. Expand Your Creative Horizons: Discover how Leonardo AI extends beyond image generation. Explore its potential for creating textures, generating concept art, or sparking inspiration for storyboarding and illustrations. See how AI art creation can enhance your workflow in various creative fields. Embrace the Future of Art: Join a thriving community of AI art enthusiasts and get inspired by a vast gallery of user-generated creations. Learn from others, share your work, and be a part of shaping the future of AI art with Leonardo AI. This guide equips you with all the essential knowledge to embark on your AI art creation journey. Get started with Leonardo AI today and unleash the boundless potential of AI-powered art!

Download or read book DALL E Demystified written by Dr Ammar Ashraf Sand and published by Dr Ammar Ashraf Sand. This book was released on 2024-03-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystify the world of AI-powered image generation with "DALL-E Demystified." This beginner's manual offers a comprehensive introduction to DALL-E, covering everything from the basics to advanced techniques. With clear explanations and practical examples, you'll learn how to harness the power of DALL-E to create stunning visuals that captivate and inspire. Whether you're an artist, designer, or enthusiast, this book will empower you to unlock the full potential of DALL-E and unleash your creativity like never before.

Download or read book Dall E All In One written by Alan Garvey and published by AI For Beginners. This book was released on 2024-01-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dall-E is an advanced image-generating language model developed by OpenAI. It can create realistic and vivid images from text descriptions. "Dall-E All In One: Brief Guide To Be Masters For Beginners" is a comprehensive guide for beginners who want to learn how to use Dall-E. The book covers everything you need to know to get started, from creating a Dall-E account to creating beautiful and creative images. In this book, you will learn: How to create a Dall-E account How to use Dall-E's tools and features How to create realistic and vivid images How to create creative and unique images The book is written in simple and easy-to-understand language, suitable for all audiences.

Download or read book Dall E 101 written by Aron Ingvar Baardsen and published by Aron Ingvar Baardsen. This book was released on 2024-03-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the world of visual creativity with "DALL-E 101." This comprehensive guide is designed for beginners looking to explore the potential of artificial intelligence in image generation. From understanding the basics of DALL-E to creating stunning visuals with ease, this book covers it all. With step-by-step instructions and practical examples, you'll learn how to unlock the full potential of DALL-E and unleash your creativity like never before.

Download or read book Mastering Midjourney AI written by Avery Wright and published by Independently Published. This book was released on 2023-02-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering Midjourney AI: The Beginner's Handbook is a comprehensive guide for beginners looking to learn about the Midjourney AI platform and how to use it for image generation. The book covers a range of topics, including understanding Midjourney AI's parameters and settings, using URLs for image inspiration, adjusting image quality, and more. The book provides in-depth explanations, concrete examples, and step-by-step instructions to help readers master the platform and achieve the desired results. It also includes information on text weights, multi prompts, and negative prompt weights, allowing readers to fully customize their image generations.

Download or read book Mastering GenAI Zero to Hero written by Husn Ara and published by Independently Published. This book was released on 2024-04-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mastering GenAI Zero to Hero " is an extensive guidebook that delves into the realm of generative artificial intelligence (AI), exploring its principles, techniques, and applications. This comprehensive book serves as a roadmap for both beginners and seasoned practitioners, offering insights into the latest advancements and practical implementations of generative AI. The book begins with an introduction to the fundamental concepts of generative AI, providing readers with a solid understanding of the underlying principles and methodologies. It covers various generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, elucidating their architectures, training procedures, and real-world use cases. As readers progress through the chapters, they are introduced to advanced topics such as conditional generation, multimodal generation, and unsupervised learning, gaining hands-on experience through code examples and tutorials. The book also explores cutting-edge research and emerging trends in the field, offering insights into the future directions of generative AI. With practical guidance and actionable insights, "Mastering GenAI Zero to Hero " equips readers with the knowledge and skills needed to harness the power of generative AI for a wide range of applications, including art generation, content creation, natural language processing, and more. Whether you're a data scientist, AI enthusiast, or industry professional, this book serves as an invaluable resource for mastering the art and science of generative AI.

Download or read book Working with AI written by Thomas H. Davenport and published by MIT Press. This book was released on 2022-09-27 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings. This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers. These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Download or read book Artificial Intelligence Simplified written by Binto George and published by CSTrends LLP. This book was released on 2016-01-08 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook. For students, there is a lower priced edition (ISBN 978-1944708016) of the same book. Published by CSTrends LLP.

Download or read book Deep Learning Illustrated written by Jon Krohn and published by Addison-Wesley Professional. This book was released on 2019-08-05 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Download or read book Hands On Image Generation with TensorFlow written by Soon Yau Cheong and published by Packt Publishing Ltd. This book was released on 2020-12-24 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch Key FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos into paintings, and generate photorealistic imagesDiscover how you can build deep neural networks with advanced TensorFlow 2.x featuresBook Description The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you’ll not only develop image generation skills but also gain a solid understanding of the underlying principles. Starting with an introduction to the fundamentals of image generation using TensorFlow, this book covers Variational Autoencoders (VAEs) and GANs. You’ll discover how to build models for different applications as you get to grips with performing face swaps using deepfakes, neural style transfer, image-to-image translation, turning simple images into photorealistic images, and much more. You’ll also understand how and why to construct state-of-the-art deep neural networks using advanced techniques such as spectral normalization and self-attention layer before working with advanced models for face generation and editing. You'll also be introduced to photo restoration, text-to-image synthesis, video retargeting, and neural rendering. Throughout the book, you’ll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, CycleGAN, StyleGAN, GauGAN, and BigGAN. By the end of this book, you'll be well versed in TensorFlow and be able to implement image generative technologies confidently. What you will learnTrain on face datasets and use them to explore latent spaces for editing new facesGet to grips with swapping faces with deepfakesPerform style transfer to convert a photo into a paintingBuild and train pix2pix, CycleGAN, and BicycleGAN for image-to-image translationUse iGAN to understand manifold interpolation and GauGAN to turn simple images into photorealistic imagesBecome well versed in attention generative models such as SAGAN and BigGANGenerate high-resolution photos with Progressive GAN and StyleGANWho this book is for The Hands-On Image Generation with TensorFlow book is for deep learning engineers, practitioners, and researchers who have basic knowledge of convolutional neural networks and want to learn various image generation techniques using TensorFlow 2.x. You’ll also find this book useful if you are an image processing professional or computer vision engineer looking to explore state-of-the-art architectures to improve and enhance images and videos. Knowledge of Python and TensorFlow will help you to get the best out of this book.

Download or read book Deep Learning for Computer Vision written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2019-04-04 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.

Download or read book Machine Learning For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2021-02-09 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

Download or read book Modern Computer Vision with PyTorch written by V Kishore Ayyadevara and published by Packt Publishing Ltd. This book was released on 2020-11-27 with total page 805 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questions Key FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created especially for this bookBook Description Deep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets. You’ll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You’ll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you’ll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You’ll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you'll move your NN model to production on the AWS Cloud. By the end of this book, you’ll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently. What you will learnTrain a NN from scratch with NumPy and PyTorchImplement 2D and 3D multi-object detection and segmentationGenerate digits and DeepFakes with autoencoders and advanced GANsManipulate images using CycleGAN, Pix2PixGAN, StyleGAN2, and SRGANCombine CV with NLP to perform OCR, image captioning, and object detectionCombine CV with reinforcement learning to build agents that play pong and self-drive a carDeploy a deep learning model on the AWS server using FastAPI and DockerImplement over 35 NN architectures and common OpenCV utilitiesWho this book is for This book is for beginners to PyTorch and intermediate-level machine learning practitioners who are looking to get well-versed with computer vision techniques using deep learning and PyTorch. If you are just getting started with neural networks, you’ll find the use cases accompanied by notebooks in GitHub present in this book useful. Basic knowledge of the Python programming language and machine learning is all you need to get started with this book.