Название: Keras Deep Learning Essentials: Definitive Reference for Developers and EngineersАвтор: Richard Johnson
Издательство: Nobtrex LLC
Год: 2025
Страниц: 374
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB
"Keras Deep Learning Essentials" is an authoritative guide that equips practitioners, researchers, and aspiring Deep Learning engineers with the essential knowledge and hands-on techniques for building, optimizing, and deploying state-of-the-art neural networks using the Keras framework. Beginning with the fundamental mathematical principles behind Deep Learning and a survey of modern neural architectures, the book offers clear explanations of Keras’s design philosophy, its seamless integration with TensorFlow, and the complete pipeline from initial prototyping to scalable production inference. With a strong emphasis on practical environment setup, the book ensures readers are well-prepared to harness advanced hardware acceleration and library dependencies for robust model development. Each chapter delves into a core aspect of the Keras workflow, from model construction patterns utilizing the Sequential and Functional APIs to sophisticated techniques such as subclassing, transfer learning, and custom layer engineering.
