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Author: Alan Garvey
Publisher: AI For Beginners
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
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.
Author: Alan Garvey
Publisher: AI For Beginners
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
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.
Author: Guido Van
Publisher: Daniel O Brien
ISBN:
Category : Computers
Languages : en
Pages : 201
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Book Description
Step Into DALL E is your step-by-step tutorial for crafting unique and engaging visual content with DALL E. This book takes you on a journey through the world of DALL E, providing practical guidance and creative inspiration to help you create stunning visuals that captivate and inspire. Whether you're a beginner or seasoned professional, Dive Into DALL E offers hands-on tutorials, creative exercises, and expert tips to help you master the art of image synthesis. From basic techniques to advanced strategies, this tutorial empowers you to dive deep into DALL E and unlock its full potential for creative expression and design.
Author: Holly Picano
Publisher: Packt Publishing Ltd
ISBN: 1835089909
Category : Computers
Languages : en
Pages : 230
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Book Description
Learn to craft fine art prints, NFTs, and captivating covers for books and magazines with Dall-E 3 and ChatGPT Key Features Explore Dall-E 3's diverse practical applications across art, design, education, and beyond Master AI-generated art creation through step-by-step tutorials, ranging from basic to advanced projects Enhance your prompt crafting skills with the exclusive prompt cheat sheet Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnveil the extraordinary capabilities of the groundbreaking AI model, DALL-E 3, as it transforms text prompts into accurate images. This book addresses the challenge of creating meaningful images by writing prompts, guiding you step by step through creating stunning visual art regardless of your skill level. Prepare to delve deep into the inner workings of DALL-E 3's architecture and training process. With clear explanations, practical tutorials, and real-world examples that can be easily applied, you’ll unlock secrets to creating awe-inspiring AI-generated art, from fine art prints to digital designs. This book provides comprehensive insights into various lens options, camera angles, lighting techniques, and art movements, helping you integrate AI capabilities with your artistic skills. You’ll also learn to create NFTs that can be monetized and gain invaluable insights into designing compelling covers, all within the ethical boundaries of AI-generated art. And with the invaluable prompt cheat sheet by your side, you’ll hone your skills in formulating captivating prompts for diverse purposes. By the end of this book, you’ll have learned how to produce generative AI art at a rapid pace and relatively low cost and push the boundaries of imagination with DALL-E 3.What you will learn Master DALL-E 3's architecture and training methods Create fine prints and other AI-generated art with precision Seamlessly blend AI with traditional artistry Address ethical dilemmas in AI art Explore the future of digital creativity Implement practical optimization techniques for your artistic endeavors Who this book is for Whether you’re an artist looking to integrate AI into your work, a designer seeking new creative horizons, a tech enthusiast intrigued by the intersection of art and artificial intelligence, an educator in the fields of art and technology, or a curious individual venturing into AI-generated art, this book is for you. For anyone interested in the innovative fusion of creativity and technology, the DALL-E 3 Guide to AI Artistry offers invaluable insights and practical skills that you can apply right away.
Author:
Publisher: princeton alumni weekly
ISBN:
Category :
Languages : en
Pages : 1086
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Book Description
Author:
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 604
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Book Description
Author: Jerald Savin
Publisher: Taylor & Francis
ISBN: 1000894363
Category : Business & Economics
Languages : en
Pages : 243
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Book Description
Pulling aside the curtain of ‘Big Data’ buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes. Bad data begets bad decisions, and an understanding of data fundamentals — how data is generated, organized, stored, evaluated, and maintained — has never been more important when solving problems such as the pandemic-related supply chain crisis. This book addresses the data-related challenges that businesses face, answering questions such as: What are the characteristics of high-quality data? How do you get from bad data to good data? What procedures and practices ensure high-quality data? How do you know whether your data supports the decisions you need to make? This clear and valuable resource will appeal to C-suite executives and top-line managers across industries, as well as business analysts at all career stages and data analytics students.
Author: James Lord
Publisher: Lulu.com
ISBN: 1257865099
Category :
Languages : en
Pages : 237
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Book Description
Author: Jeremy Howard
Publisher: O'Reilly Media
ISBN: 1492045497
Category : Computers
Languages : en
Pages : 624
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Book Description
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
Author:
Publisher:
ISBN:
Category : Administrative law
Languages : en
Pages : 704
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Book Description
Special edition of the Federal Register, containing a codification of documents of general applicability and future effect ... with ancillaries.
Author: Ee Kin Chin
Publisher: Packt Publishing Ltd
ISBN: 1803235349
Category : Computers
Languages : en
Pages : 516
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Book Description
Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is for This book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.
