Deep Learning in Modern C++ : End-to-end development and implementation of deep learning algorithms (English Edition)
Description: Deep learning is revolutionizing how we approach complex problems, and harnessing its power directly within C++ provides unparalleled control and efficiency. This book bridges the gap between cutting-edge deep learning techniques and the robust, high-performance capabilities of modern C...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Acceso en línea: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365893519.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Deep Learning in Modern C++, End-to-end development and implementation of deep learning algorithms (English Edition), Luiz Carlos d'Oleron, New Delhi, BPB Publications, 2025, 1 vol. (526 p.), 978-93-6589-351-9 |
Tabla de Contenidos:
- 1. Introduction to Deep Learning Programming
- 2. Coding Deep Learning with Modern C++
- 3. Testing Deep Learning Code
- 4. Implementing Convolutions
- 5. Coding the Fully Connected Layer
- 6. Learning by Minimizing Cost Functions
- 7. Defining Activation Functions
- 8. Using Pooling Layers
- 9. Coding the Gradient Descent Algorithm
- 10. Coding the Backpropagation Algorithm
- 11. Underfitting, Overfitting, and Regularization
- 12. Implementing Cross-validation, Mini Batching, and Model Performance Metrics
- 13. Implementing Optimizers
- 14. Introducing Computer Vision Models
- 15. Developing an Image Classifier
- 16. Leveraging Training Performance with Transfer Learning
- 17. Developing an Object Localization System