Natural language processing with TensorFlow : the definitive NLP book to implement the most sought-after machine learning models and tasks /

Learning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ganegedara, Thushan (Autor)
Otros Autores: Lopatenko, Andrei (writer of foreword..)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd., 2022.
Edición:Second edition.
Colección:Expert insight.
Temas:
TensorFlow.
Natural language processing (Computer science)
Machine learning.
Traitement automatique des langues naturelles.
Apprentissage automatique.
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Natural language processing with TensorFlow :  |b the definitive NLP book to implement the most sought-after machine learning models and tasks /  |c Thushan Ganegedara ; foreword by Andrei Lopatenko. 
250 |a Second edition. 
264 1 |a Birmingham, UK :  |b Packt Publishing Ltd.,  |c 2022. 
300 |a 1 online resource (514 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Expert insight 
500 |a Includes index. 
505 0 |a Chapter 1: Introduction to natural language processing -- Chapter 2: Understanding TensorFlow 2 -- Chapter 3: Word2vec: learning word embeddings -- Chapter 4: Advanced word vector algorithms -- Chapter 5: Sentence classification with convolutional neural networks -- Chapter 6: Recurrent neural networks -- Chapter 7: Understanding long short-term memory networks -- Chapter 8: Applications of LSTM: generating text -- Chapter 9: Sequence-to-sequence learning: neural machine translation -- Chapter 10: Transformers -- Chapter 11: Image captioning with transformers -- Appendix A: Mathematical foundations and advanced TensorFlow 
520 |a Learning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common real-world NLP problems with a variety of deep learning model architectures. The book starts by getting readers familiar with NLP and the basics of TensorFlow. Then, it gradually teaches you different facets of TensorFlow 2.x. In the following chapters, you then learn how to generate powerful word vectors, classify text, generate new text, and generate image captions, among other exciting use-cases of real-world NLP. TensorFlow has evolved to be an ecosystem that supports a machine learning workflow through ingesting and transforming data, building models, monitoring, and productionization. We will then read text directly from files and perform the required transformations through a TensorFlow data pipeline. We will also see how to use a versatile visualization tool known as TensorBoard to visualize our models. By the end of this NLP book, you will be comfortable with using TensorFlow to build deep learning models with many different architectures, and efficiently ingest data using TensorFlow Additionally, you'll be able to confidently use TensorFlow throughout your machine learning workflow. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a TensorFlow. 
650 0 |a Natural language processing (Computer science) 
650 0 |a Machine learning. 
650 6 |a Traitement automatique des langues naturelles. 
650 6 |a Apprentissage automatique. 
650 7 |a Machine learning  |2 fast 
650 7 |a Natural language processing (Computer science)  |2 fast 
700 1 |a Lopatenko, Andrei,  |e writer of foreword.. 
776 0 8 |i Print version :  |z 9781838641351 
830 0 |a Expert insight. 
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938 |a ProQuest Ebook Central  |b EBLB  |n EBL7072638 
994 |a 92  |b IZTAP 

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