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Deep Learning for NLP and Speech Recognition > 인공지능

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Deep Learning for NLP and Speech Recognition
히트도서
판매가격 120,000원
저자 Kamath,
도서종류 외국도서
출판사 Springer
발행언어 영어
발행일 2019
페이지수 621
ISBN 9783030145958
도서구매안내 온, 오프라인 서점에서 구매 하실 수 있습니다.

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  • 도서 정보

    도서 상세설명

    A comprehensive resource that builds up from elementary deep learning, text, and speech principles to advanced state-of-the-art neural architectures

    A ready reference for deep learning techniques applicable to common NLP and speech recognition applications

    A useful resource on successful architectures and algorithms with essential mathematical insights explained in detail

    An in-depth reference and comparison of the latest end-to-end neural speech processing approach

      

    A panoramic resource on leading edge transfer learning, domain adaptation and deep reinforcement learning architectures for text and speech

     

    Practical aspects of using these techniques with tips and tricks essential for real-world applications

     

    A hands-on approach to using Python-based deep learning libraries such as Keras, TensorFlow, and PyTorch to apply these techniques in the context of real-world case studies

     

    Thirteen case studies with code, data, and configurations across different approaches for NLP and Speech recognition tasks such as Embeddings, Classification, Distributed Representation, Summarization, Machine Translation, Sentiment Analysis, Cross Domain Transfer Learning, Multi-Task NLP, End to End Speech, and Question Answering

     


    Table of contents (13 chapters)

    Introduction
    Kamath, Uday (et al.)

    Pages 3-38
    Preview Buy Chapter 24,95 €
    Basics of Machine Learning
    Kamath, Uday (et al.)

    Pages 39-86
    Text and Speech Basics
    Kamath, Uday (et al.)

    Pages 87-138
    Basics of Deep Learning
    Kamath, Uday (et al.)

    Pages 141-201
    Distributed Representations
    Kamath, Uday (et al.)

    Pages 203-261
    Convolutional Neural Networks
    Kamath, Uday (et al.)

    Pages 263-314
    Recurrent Neural Networks
    Kamath, Uday (et al.)

    Pages 315-368
    Automatic Speech Recognition
    Kamath, Uday (et al.)

    Pages 369-404
    Attention and Memory Augmented Networks
    Kamath, Uday (et al.)

    Pages 407-462
    Transfer Learning: Scenarios, Self-Taught Learning, and Multitask Learning
    Kamath, Uday (et al.)

    Pages 463-493
    Transfer Learning: Domain Adaptation
    Kamath, Uday (et al.)

    Pages 495-535
    End-to-End Speech Recognition
    Kamath, Uday (et al.)

    Pages 537-574
    Deep Reinforcement Learning for Text and Speech
    Kamath, Uday (et al.)

    Pages 575-613
     

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