Hands-On Machine Learning with C++ : Build, train, and deploy end-to-end machine learning and deep learning pipelines
Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasets. Key Features: Familiarize yourself with data processing, performance measuring, and model selection using various C+...
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| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Birmingham :
Packt Publishing
2025.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781805126140.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hands-On Machine Learning with C++, Build, train, and deploy end-to-end machine learning and deep learning pipelines, Kirill Kolodiazhnyi, Birmingham, Packt Publishing, 2025, 1 vol. (512 p.), 978-18-0512-057-5 |