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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Detalles Bibliográficos
Otros Autores: Ganegedara, Thushan, author (author), Lopatenko, Andrei, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing [2022]
Edición:Second edition
Colección:Expert insight.
Materias:
TensorFlow.
Natural language processing (Computer science)
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672527206719
Tabla de Contenidos:
  • 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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