Mastering Neural Network Computer Vision with TensorFlow and Keras : A practical guide to image use cases like object detection, image segmentation, and text recognition
Description: Mastering Neural Network Computer Vision with TensorFlow and Keras provides a comprehensive guide to using TensorFlow and Keras for computer vision applications. The book enables readers to develop and exercise the skills needed to use sophisticated pre-trained computer vision models, b...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365897609.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mastering Neural Network Computer Vision with TensorFlow and Keras, A practical guide to image use cases like object detection, image segmentation, and text recognition, Jean Anoma, New Delhi, BPB Publications, 2025, 1 vol. (407 p.), 978-93-6589-760-9 |
Sommario:
- 1. Introduction to Neural Networks and Deep Learning
- 2. Introduction to TensorFlow and Keras
- 3. Presentation of Some Computer Vision Tasks and Related Dataset Structure
- 4. The Secret to a Great Model: A Great Dataset
- 5. Transfer Learning with TensorFlow and Keras
- 6. Segmentation with Neural Networks
- 7. Object Detection with Neural Networks
- 8. Using Pre-trained Models for Text Detection and Recognition
- 9. Using Pre-trained Models for Image Enhancement
- 10. Building Your Own Model with Keras
- 11. Training Your Own Model with Keras
- 12. Explainability of Results
- 13. Generative Models
- 14. Conclusion and Future Directions