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Hands-on Question Answering Systems with BERT

Applications in Neural Networks and Natural Language Processing
BuchKartoniert, Paperback
184 Seiten
Englisch
Springererschienen am13.01.20211st ed.
Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning.The book begins with an overview of the technology landscape behind BERT.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR48,14
E-BookPDF1 - PDF WatermarkE-Book
EUR46,99

Produkt

KlappentextGet hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning.The book begins with an overview of the technology landscape behind BERT.
Details
ISBN/GTIN978-1-4842-6663-2
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2021
Erscheinungsdatum13.01.2021
Auflage1st ed.
Seiten184 Seiten
SpracheEnglisch
IllustrationenXV, 184 p. 80 illus.
Artikel-Nr.49064250

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1: Introduction to Natural Language Processing.- Chapter 2: Introduction to Word Embeddings.- Chapter 3: BERT Algorithms Explained.- Chapter 4: BERT Model Applications - Question Answering System.- Chapter 5: BERT Model Applications - Other tasks.- Chapter 6: Future of BERT models.mehr

Schlagworte

Autor

Navin is the chief architect for HCL DryICE Autonomics. He is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation, AIOPS, public cloud GCP, AWS, and Microsoft Azure. Navin has authored 15+ books in the areas of cloud computing , cognitive virtual agents, IBM Watson, GCP, containers, and microservices. Amit Agrawal is a senior data scientist and researcher delivering solutions in the fields of AI and machine learning. He is responsible for designing end-to-end solutions and architecture for enterprise products. He has also authored and reviewed books in the area of cognitive virtual assistants.