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

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
Other Authors: Ganegedara, Thushan, author (author), Lopatenko, Andrei, author
Format: eBook
Language:Inglés
Published: Birmingham, England : Packt Publishing [2022]
Edition:Second edition
Series:Expert insight.
Subjects:
TensorFlow.
Natural language processing (Computer science)
Machine learning.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672527206719
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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