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Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language Processing - Tapa blanda
Sinopsis
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. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you'll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you'll cover word embedding and their types along with the basics of BERT.
After this solid foundation, you'll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You'll see different BERT variations followed by a hands-on example of a question answering system.
Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT.
What You Will Learn
Who This Book Is For
AI and machine learning developers and natural language processing developers.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del 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.De la contraportada
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. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you ll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you ll cover word embedding and their types along with the basics of BERT.
After this solid foundation, you ll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You ll see different BERT variations followed by a hands-on example of a question answering system.
Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT.
You will:
- Examine the fundamentals of word embeddings
- Apply neural networks and BERT for various NLP tasks
- Develop a question-answering system from scratch
- Train question-answering systems for your own data
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialApress
- Año de publicación2021
- ISBN 10 1484266633
- ISBN 13 9781484266632
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición1
- Número de páginas200
- Contacto del fabricanteno disponible
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Hands-On Question Answering Systems with Bert: Applications in Neural Networks and Natural Language Processing (Paperback or Softback)
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Apress 1/13/2021, 2021
ISBN 10: 1484266633
ISBN 13: 9781484266632
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Paperback or Softback. Condición: New. Hands-On Question Answering Systems with Bert: Applications in Neural Networks and Natural Language Processing 0.64. Book. Nº de ref. del artículo: BBS-9781484266632
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Hands-on Question Answering Systems With Bert: Applications in Neural Networks and Natural Language Processing
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Paperback. Condición: Brand New. 184 pages. 9.50x6.25x0.50 inches. In Stock. Nº de ref. del artículo: x-1484266633
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Hands-on Question Answering Systems with BERT
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you'll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you'll cover word embedding and their types along with the basics of BERT. After this solid foundation, you'll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You'll see different BERT variations followed by a hands-on example of a question answering system. Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT.What You Will Learn Examine the fundamentals of word embeddings Apply neural networks and BERT for various NLP tasks Develop a question-answering system from scratch Train question-answering systems for your own data Who This Book Is ForAI and machine learning developers and natural language processing developers. 200 pp. Englisch. Nº de ref. del artículo: 9781484266632
Cantidad disponible: 2 disponibles
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Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language Processing
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Hands-On Question Answering Systems with Bert: Applications in Neural Networks and Natural Language Processing
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Integrates question answering systems with document repositories from different sourcesContains an in-depth explanation of the technology behind BERTTakes a step-by-step approach to building ques. Nº de ref. del artículo: 417539261
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Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you'll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you'll cover word embedding and their types along with the basics of BERT. After this solid foundation, you'll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You'll see different BERT variations followed by a hands-on example of a question answering system. Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT.What You Will Learn Examine the fundamentals of word embeddings Apply neural networks and BERT for various NLP tasks Develop a question-answering system from scratch Train question-answering systems for your own data Who This Book Is ForAI and machine learning developers and natural language processing developers. Nº de ref. del artículo: 9781484266632
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Hands-on Question Answering Systems with BERT
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Apress, Apress Jan 2021, 2021
ISBN 10: 1484266633
ISBN 13: 9781484266632
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -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. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, yoüll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, yoüll cover word embedding and their types along with the basics of BERT.After this solid foundation, yoüll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. Yoüll see different BERT variations followed by a hands-on example of a question answering system.Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT.What You Will LearnExamine the fundamentals of word embeddingsApply neural networks and BERT for various NLP tasksDevelop a question-answering system from scratchTrain question-answering systems for your own dataWho This Book Is ForAI and machine learning developers and natural language processing developers.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 200 pp. Englisch. Nº de ref. del artículo: 9781484266632
Cantidad disponible: 2 disponibles