Verleger: K-i-s-publishing

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Gamification with Unity 5.x. Build exhilarating gaming experiences using a wide range of game elements in Unity 5.x

Lauren S. Ferro

Are you looking at implementing gamification techniques for your business and wondering where to get a complete rundown of all the tricks and techniques? Well, you have come to the right place!This book will start right from the basics such as gameplay elements and their functionalities before gradually moving onto creating your first gamification project from scratch. You’ll be given the tools and shown how to perform various techniques for creating gamified applications in different contexts. Finally, you will implement various game elements into Unity, publish your own task management application, and get to know the best practices and approaches when designing gamified experiences.

1866
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Gdy tracisz najlepszego przyjaciela. Poradnik dla tych, którzy przeżywają żałobę po ukochanym zwierzęciu

Jeannie Wycherley

Gdy tracisz najlepszego przyjaciela... świat nagle się zmienia. Utrata ukochanego zwierzęcia to jeden z najboleśniejszych momentów w życiu opiekuna. W tej poruszającej i szczerej książce autorka dzieli się własną historią po stracie Herbiego oraz doświadczeniami innych osób, które musiały pożegnać swoich przyjaciół. To nie jest poradnik napisany przez zdystansowanego teoretyka - lecz przez kogoś, kto naprawdę przeszedł przez żałobę i rozumie, jak głęboka potrafi być więź między człowiekiem a psem. Znajdziesz tu ciepłe słowa, prawdziwe historie i delikatne wskazówki, które pomogą ci przejść przez trudny czas po stracie. Książka przypomina, że każdy przeżywa żałobę inaczej, a z czasem można nauczyć się żyć z bólem, pielęgnując piękne wspomnienia. Ta książka uświadomi Ci, że masz prawo do bólu, smutku i przeżywania żałoby. To nigdy nie jest "tylko zwierzę".

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Generał

Patrick A. Davis

W gabinecie szefa sztabu Sił Powietrznych USA w brutalny sposób zostaje zamordowany czterogwiazdowy generał. Do wyjaśnienia tej sprawy oddelegowany zostaje podpułkownik Jensen z wydziału dochodzeniowego Sił Powietrznych. Z gabinetu generała morderca zabrał wszystkie dyskietki komputerowe oraz twardy dysk. Wszystko wskazywało też na to, że przed śmiercią ofiara poddana została torturom, stosowanym przez... północnych Wietnamczyków podczas konfliktu w Indochinach...

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Generating Creative Images With DALL-E 3. Create accurate images with effective prompting for real-world applications

Holly Picano

Unveil 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.

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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Josh Kalin

Developing Generative Adversarial Networks (GANs) is a complex task, and it is often hard to find code that is easy to understand.This book leads you through eight different examples of modern GAN implementations, including CycleGAN, simGAN, DCGAN, and 2D image to 3D model generation. Each chapter contains useful recipes to build on a common architecture in Python, TensorFlow and Keras to explore increasingly difficult GAN architectures in an easy-to-read format. The book starts by covering the different types of GAN architecture to help you understand how the model works. This book also contains intuitive recipes to help you work with use cases involving DCGAN, Pix2Pix, and so on. To understand these complex applications, you will take different real-world data sets and put them to use.By the end of this book, you will be equipped to deal with the challenges and issues that you may face while working with GAN models, thanks to easy-to-follow code solutions that you can implement right away.

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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Kailash Ahirwar

Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain.Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you’ll gain an understanding of the architecture and functioning of generative models through their practical implementation.By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects.

1871
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Generative AI Application Integration Patterns. Integrate large language models into your applications

Juan Pablo Bustos, Luis Lopez Soria, Dr....

Explore the transformative potential of GenAI in the application development lifecycle. Through concrete examples, you will go through the process of ideation and integration, understanding the tradeoffs and the decision points when integrating GenAI.With recent advances in models like Google Gemini, Anthropic Claude, DALL-E and GPT-4o, this timely resource will help you harness these technologies through proven design patterns.We then delve into the practical applications of GenAI, identifying common use cases and applying design patterns to address real-world challenges. From summarization and metadata extraction to intent classification and question answering, each chapter offers practical examples and blueprints for leveraging GenAI across diverse domains and tasks. You will learn how to fine-tune models for specific applications, progressing from basic prompting to sophisticated strategies such as retrieval augmented generation (RAG) and chain of thought.Additionally, we provide end-to-end guidance on operationalizing models, including data prep, training, deployment, and monitoring. We also focus on responsible and ethical development techniques for transparency, auditing, and governance as crucial design patterns.

1872
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E-BOOK

Generative AI Art. Unleash Your Creativity with Generative AI Art for Beginners

Oliver Theobald

The course introduces the basic concepts of artificial intelligence and its application in art, making it accessible even to those without a technical background. This foundation paves the way for exploring the nuances of effective prompt crafting, a critical skill for generating bespoke AI artwork.The course focuses on hands-on demonstrations with leading AI art software, including Craiyon and Midjourney, offering step-by-step guides to harness these tools effectively. Through practical examples, learners will understand how to navigate image prompts, masking techniques, framing, and lighting to enhance the visual appeal of their creations. The significance of navigating these elements is underscored, highlighting their role in achieving consistency and originality in AI-generated art.The course wraps up by delving into the remixing of popular art styles, the art of creating compelling text prompts, and the critical aspects of image rights, ethics, privacy, and originality in the digital art space. By concluding with recommended resources, learners are equipped to continue their journey in AI art, fueled by inspiration and a solid understanding of the field's possibilities and responsibilities.