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“zhenzi weng”

Showing 1 - 12 of 12 results for “zhenzi weng”
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  • Deep Learning Enabled Semantic Communications

    by Zhijin Qin, Huiqiang Xie, Zhenzi Weng, Xiaoming Tao ...
    Comprehensive overview of the principles, theories, and techniques behind deep learning enabled semantic communicationsDeep Learning Enabled Semantic Communications explores the synergy between deep learning and semantic communication, particularly in the context of advancing 6G networks. It provides a focused introduction to the subject, systematically covering deep learning enabled semantic ... Read more

    $115.00 USD

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  • Transformers for Machine Learning

    A Deep Dive

    by Uday Kamath, Wael Emara, Kenneth Graham ...
    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

  • Transformers in Deep Learning Architecture

    Definitive Reference for Developers and Engineers

    by Richard Johnson ...
    "Transformers in Deep Learning Architecture""Transformers in Deep Learning Architecture" presents a comprehensive and rigorous exploration of the transformer paradigm—the foundational architecture that has revolutionized modern artificial intelligence. The book opens by situating transformers within the historical context of neural sequence models, methodically tracing their evolution from ... Read more

    $9.95 USD or Free with Kobo Plus

  • Neural Network Methods in Natural Language Processing

    by Yoav Goldberg, Graeme Hirst ...
    Series series Synthesis Lectures on Human Language Technologies
    Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Read more

    $53.99 USD

  • Generative Deep Learning with Python

    Unleashing the Creative Power of AI by Mastering AI and Python

    by Cuantum Technologies LLC ...
    Dive into the world of Generative Deep Learning with Python, mastering GANs, VAEs, & autoregressive models through projects & advanced topics. Gain practical skills & theoretical knowledge to create groundbreaking AI applications.Key FeaturesComprehensive coverage of deep learning and generative models.In-depth exploration of GANs, VAEs, & autoregressive models & advanced topics in generative AI ... Read more

    $31.49 USD or Free with Kobo Plus

  • Text-to-Speech Systems and Algorithms

    Definitive Reference for Developers and Engineers

    by Richard Johnson ...
    "Text-to-Speech Systems and Algorithms"“Text-to-Speech Systems and Algorithms” is a comprehensive technical guide that meticulously navigates the landscape of modern speech synthesis. From the foundations of classical TTS architectures to cutting-edge neural techniques, this book unpacks the scientific principles and engineering innovations underpinning the field. It closely examines the ... Read more

    $9.95 USD or Free with Kobo Plus

  • Representation Learning for Natural Language Processing

    by Zhiyuan Liu, Yankai Lin, Maosong Sun ...
    Series series Computer Science (R0)
    This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those ... Read more

    Free

  • Artificial Intelligence

    A Textbook

    by Charu C. Aggarwal ...
    Series series Computer Science (R0)
    This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories:Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5.Inductive ... Read more

    $58.49 USD

  • Foundations of Semantic Communication Networks

    Edited by Walid Saad, Christina Chaccour, Christo Kurisummoottil Thomas, Merouane Debbah ...
    Comprehensive overview of the principles, theories, and techniques needed to build end-to-end semantic communication systems, with case studies included.In this rapidly evolving landscape, the integration of connected intelligence applications highlights the pressing need for networks to gain intelligence in a non-siloed and ad hoc manner. The traditional incremental approach to network design is ... Read more

    $111.00 USD

  • Convolutional Neural Networks in Visual Computing

    A Concise Guide

    by Ragav Venkatesan, Baoxin Li ...
    Series series Data-Enabled Engineering
    This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand ... Read more

    $89.99 USD

  • Deep Learning

    A Practical Introduction

    by Manel Martinez-Ramon, Meenu Ajith, Aswathy Rajendra Kurup ...
    An engaging and accessible introduction to deep learning perfect for students and professionalsIn Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing ... Read more

    $85.00 USD

  • Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III

    Edited by Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano ...
    Series Book 3 - Springer Nature Proceedings Computer Science
    The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.The 210 full papers presented in these ... Read more

    $143.09 USD