Artificial Intelligence Engines : A Tutorial Introduction to the Mathematics of Deep Learning
Dive into the fundamentals of artificial intelligence engines, covering deep learning and its mathematical underpinnings. Practical examples and tutorials help bridge the gap between theoretical AI concepts and applications. Key Features: Comprehensive breakdown of foundational and advanced AI algor...
Tallennettuna:
| Päätekijä: | Stone, James V. |
|---|---|
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Linkit: | Accès Université d'Orléans et IFPM |
| Huomautus: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781837024063.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Artificial Intelligence Engines, A Tutorial Introduction to the Mathematics of Deep Learning, James V Stone, Birmingham, Packt Publishing, 2024, 1 vol. (217 p.), 978-18-3702-407-0 |
Samankaltaisia teoksia
-
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
(Livre numérique)
Badra, Jihad
Elsevier Science, 2022 -
Artificial Intelligence in Unreal Engine 5 : Unleash the power of AI for next-gen game development with UE5 by using Blueprints and C++
(Livre numérique)
Secchi, Marco
Packt Publishing, 2024 -
Artificial Intelligence, Machine Learning, and Deep Learning
(Livre numérique)
Campesato, Oswald
Mercury Learning and Information, 2020 -
Linear Regression With Python : A Tutorial Introduction to the Mathematics of Regression Analysis
(Livre numérique)
Stone, James V.
Packt Publishing, 2024 -
Artificial Intelligence and Deep Learning in Sensors and Applications
(Livre numérique)
MDPI - Multidisciplinary Digital Publishing Institute, 2024

