Программы
3832 кн.
Эта книга для тех, кто давно связан с разработкой программного обеспечения. Или для тех, кто еще думает выбрать программирование своей профессией. Или для тех, кто просто привык думать и размышлять о происходящем в мире информационных технологий. Не секрет, что основная масса софтостроения сосредоточена в секторе так называемой корпоративной разработки: от комплексных информационных систем предприятия до отдельных приложений. Поэтому немалая часть сюжетов касается именно Enterprise...
| Автор | Сергей Тарасов |
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve...
| Автор | Vivienne Sze |
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve...
| Автор | Vivienne Sze |
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve...
| Автор | Vivienne Sze |
