Informatyka
Brian Rossney
This hands-on guide shows filmmakers, hobbyists, and 3D artists how to bring photorealistic digital humans to life using Unreal Engine 5.6 and the latest MetaHuman Creator features. You'll begin by designing your custom MetaHuman using the intuitive in-editor tool, adjusting facial features, body proportions, and clothing with precision.Next, you’ll import the character into your UE5 scene and prepare it for animation. Using motion capture tools like an iPhone, webcam, and online body motion capture solutions, you’ll capture facial expressions and body movements, then refine performance using the MetaHuman Control Rig. You'll also explore tools like Live Link and the Take Recorder and mix and retarget motion data for believable, production-ready animation.Finally, you’ll animate and render your character using the Level Sequencer and cinematic cameras, producing high-quality results suitable for games, short films, or virtual production.With practical workflows, plugin support for Maya, Houdini, and Blender, and new capabilities like audio-driven facial animation and auto-fitting clothing, this second edition equips you with everything you need to create compelling, cinematic digital humans in real-time.*Email sign-up and proof of purchase required
Brian Rossney, Ciaran Kavanagh
MetaHuman Creator (MHC) is an online, user-friendly 3D design tool for creating highly realistic digital humans that can be animated within Unreal Engine (UE) and enhanced with motion capture technology. This means that filmmakers and game developers now have access to a high quality, affordable solution that was previously only available to specialist studios.This book will focus on using UE5 and MHC from a filmmaker angle. Firstly, you’ll understand how to use the online MHC to create a digital character, changing its facial structure, body type, and clothing. After that, you’ll learn all the necessary steps to bring the character into UE5 and set it up for animation. Then, using an iPhone and a webcam to capture face and body movements, you’ll mix these motion capture files, refine the animations using the MetaHuman Control Rig, and save these takes to be reused and edited again within the Level Sequencer. On top of that, you’ll learn how to create a rendered video file for film production using both the Level Sequencer and a VR Cinematic Camera. By the end of this book, you’ll have created your own MetaHuman character, as well as face and body motion capture data, and learned the necessary skills to give your future projects further realism and creative control.
Sayon Dutta
Reinforcement learning (RL) allows you to develop smart, quick and self-learning systems in your business surroundings. It's an effective method for training learning agents and solving a variety of problems in Artificial Intelligence - from games, self-driving cars and robots, to enterprise applications such as data center energy saving (cooling data centers) and smart warehousing solutions.The book covers major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. You'll also be introduced to the concept of reinforcement learning, its advantages and the reasons why it's gaining so much popularity. You'll explore MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, and temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP.By the end of this book, you will have gained a firm understanding of what reinforcement learning is and understand how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym.
Rejestr Windows 7. Praktyczne przykłady
Witold Wrotek
Zajrzyj pod maskę systemu Windows 7 Poznaj budowę rejestru systemowego Naucz się edytować klucze i modyfikować wartości Odkryj potężne możliwości dostosowywania środowiska do swoich potrzeb Rejestr Windows jest bazą danych konfiguracyjnych, za pomocą których można kontrolować każdy aspekt działania systemu operacyjnego. Zawiera on informacje na temat zainstalowanego w komputerze sprzętu i oprogramowania, a także ustawienia związane z poszczególnymi użytkownikami środowiska. Edytując wpisy przechowywane w rejestrze, można w znacznym stopniu dostosować wygląd i sposób funkcjonowania systemu do własnych potrzeb oraz zoptymalizować jego pracę w celu zwiększenia ogólnej wydajności komputera. Aby osiągnąć odpowiednie efekty, niczego przy okazji nie psując, trzeba oczywiście dysponować wiedzą, przez niektórych uważaną za niemal magiczną. Dzięki książce "Rejestr Windows 7. Praktyczne przykłady " również Ty możesz dołączyć do grona osób wtajemniczonych. Dowiesz się z niej, jak zbudowany jest ów rejestr i jaką rolę pełnią poszczególne jego elementy. Nauczysz się zabezpieczać go przed awariami i właściwie reagować w sytuacjach, gdy mimo wszystko wystąpi jakiś błąd. Poznasz możliwości drzemiące w rejestrze i metody wykorzystywania ich w celu modyfikacji interfejsu środowiska czy działania dostępnych w nim narzędzi. Odkryjesz również sposoby optymalizacji i defragmentacji rejestru, a wszystko to bez konieczności wczytywania się w techniczną nowomowę i przebijania przez niezrozumiałą dokumentację. Szybko, łatwo, praktycznie. Struktura i funkcje rejestru systemu Windows 7 Sposoby dodawania oraz edytowania kluczy i wartości Zabezpieczanie rejestru przed awariami i postępowanie w przypadku ich wystąpienia Dostosowywanie interfejsu systemu do swoich potrzeb Kontrolowanie działania aplikacji i narzędzi systemowych Zarządzanie usługami z poziomu rejestru Utrzymywanie rejestru w dobrej kondycji
Dipti Chhatrapati
This book is intended for developers, testers, architects, and project managers who want to explore and make use of the reporting facilities of Team Foundation Server 2013. Although no previous experience of reporting is required, a basic understanding of the Team Foundation Components and project templates would be a plus.
James Serra
This is a step-by-step tutorial that deals with Microsoft Server 2012 reporting tools:SSRS and Power View. If you are a BI developer, consultant, or architect who wishes to learn how to use SSRS and Power View, and want to understand the best use for each tool, then this book will get you up and running quickly. No prior experience is required with either tool!
ReSharper Essentials. Make your Microsoft Visual Studio work smarter with ReSharper
Lukasz Gasior
A practical, hands-on guide that will help you to unleash the power of ReSharper to write better quality code. If you are a developer who is working with Visual Studio and are looking to make your work more efficient, this book is for you. It is most useful for new ReSharper users but those who are currently using it will also find many useful tips and references updated to the latest version (8.1). Prior knowledge of Visual Studio is a must.
Adnan Masood, Ed Price, Dr. Ehsan Adeli,...
Responsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations.By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models.