Hands-On Natural Language Processing with Python : A Practical Guide to Applying Deep Learning Architectures to Your NLP Applications /
Contenido: 1. Para comenzar; 2. Clasificación de textos y etiquetado de partes del discurso con la herramienta lenguaje natural (Natural Language Toolkit o NLTK); 3. Aprendizaje profundo y TensorFlow; 4. Incrustación semántica utilizando modelos poco profundos; 5. Clasificación de texto utilizando m...
Guardat en:
| Autor principal: | |
|---|---|
| Altres autors: | |
| Format: | Llibre |
| Idioma: | anglès |
| Publicat: |
Birmingham, Inglaterra :
Packt,
2018, c2018
|
| Matèries: | |
| Accés en línia: | Ver documento en línea |
| Etiquetes: |
Ítems similars: Hands-On Natural Language Processing with Python :
- Natural Language Processing with Python /
- Speech and Language Processing : An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition /
- Speech and Language Processing : An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition /
- Advances in Natural Language Processing : 8th International Conference on NLP, JapTAL 2012, Kanazawa, Japan, October 22-24, 2012 : Proceedings /
- Advanced Signal Processing Technology by Soft Computing /
- Advanced Signal Processing for Communication Systems /