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  • Procedural Content Generation via Machine Learning

    An Overview

    Series series Synthesis Collection of Technology (R0)
    This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. The authors survey current and future approaches to generating video game content and illustrate the ... Read more

    $40.49 USD

  • Procedural Content Generation via Machine Learning

    An Overview

    Series series eBColl Synthesis Collection 11
    This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). Machine learning is having a major impact on many industries, including the video game industry. PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning ... Read more

    $58.49 USD

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    Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

    This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook ... Read more

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  • Deep Learning Illustrated

    A Visual, Interactive Guide to Artificial Intelligence

    Series series Addison-Wesley Data & Analytics Series
    "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 WhyFully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented ... Read more

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  • Generative AI with Python and PyTorch

    Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

    Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs)Key FeaturesImplement real-world applications of LLMs and generative AIFine-tune models with PEFT and LoRA to speed up trainingExpand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and ... Read more

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  • Transformers for Machine Learning

    A Deep Dive

    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.Key Features ... Read more

    $66.99 USD

  • Foundation Models for Natural Language Processing

    Pre-trained Language Models Integrating Media

    Series series Computer Science (R0)
    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to ... Read more

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  • The Routledge Companion to Artificial Intelligence in Architecture

    Edited by Imdat As ...
    Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 ... Read more

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  • Artificial Intelligence

    What Is Behind the Technology of the Future?

    Series series Computer Science (R0)
    Artificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life – from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, ... Read more

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  • Mobile Speech and Advanced Natural Language Solutions

    Series series Engineering (R0)
    "Mobile Speech and Advanced Natural Language Solutions" presents the discussion of the most recent advances in intelligent human-computer interaction, including fascinating new study findings on talk-in-interaction, which is the province of conversation analysis, a subfield in sociology/sociolinguistics, a new and emerging area in natural language understanding. Editors Amy Neustein and Judith A. ... Read more

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  • Handbook of Digital Face Manipulation and Detection

    From DeepFakes to Morphing Attacks

    Series series Computer Science (R0)
    This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the ... Read more

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  • Deep Reinforcement Learning

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    Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even ... Read more

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