Deep Learning: Concepts and Architectures
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. The book also demonstrates how the architectural developments, which arise… Celý popis ↓
Porovnanie cien Deep Learning: Concepts and Architectures
Popis Deep Learning: Concepts and Architectures
Deep Learning: Concepts and Architectures
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. 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. 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.
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.
Parametre
- Výrobca
- Springer Nature Switzerland AG
Podobné produkty
Deep Learning: Concepts and Architectures
Learning Deep Learning
Deep Learning and Linguistic Representation
Deep Learning
Deep Learning
Principles and Labs for Deep Learning
Generative Deep Learning
Grokking Deep Learning
Probabilistic Deep Learning
Practical Deep Learning for Cloud and Mobile
Deep Learning with TensorFlow 2 and Keras
