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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Ganegedara, Thushan (Author)
Other Authors: Lopatenko, Andrei (writer of foreword..)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing Ltd., 2022.
Edition:Second edition.
Series:Expert insight.
Subjects:
TensorFlow.
Natural language processing (Computer science)
Machine learning.
Traitement automatique des langues naturelles.
Apprentissage automatique.
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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

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