Deep learning with Python
| Otros Autores: | |
|---|---|
| Formato: | Libro |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, New York :
Manning Publications Co. LLC
[2021]
|
| Edición: | Segunda edición |
| Materias: | |
| Ver en Universidad de Navarra: | https://unika.unav.edu/discovery/fulldisplay?docid=alma991011248835408016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es |
Tabla de Contenidos:
- 1. What is deep learning?
- 2. The mathematical building blocks of neural networks
- 3. Introduction to Keras and TensorFlow
- 4. Getting started with neural networks: classification and regression
- 5. Fundamentals of machine learning
- 6. The universal workflow of machine learning
- 7. Working with Keras: a deep dive
- 8. Introduction to deep learning for computer vision
- 9. Advanced deep learning for computer vision
- 10. Deep learning for timeseries
- 11. Deep learning for text
- 12. Generative deep learning
- 13. Best practices for the real world
- 14. Conclusions.
