深度学习的概念与架构
本书向读者介绍了深度学习的基本概念，并提供了实践的见解：如何用这种学习范式支持自动机制的架构知识表示。
This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation.
讨论了产生有形和功能上有意义的知识的一些多层体系结构，并展示了架构发展如何成为成功交付具有竞争力的实际解决方案的关键。
It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems.
本书还展示了在深度学习的背景下，架构开发如何支持对系统设计的详细学习和改进。
The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design.
书中详细描述了当前深度学习拓扑的设计和分析趋势，为语言建模、图形表示和预测的各个领域提供了实用指南和竞争解决方案。
Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.