Deep Learning for Robot Perception and Cognition

Herausgeber: Iosifidis, Alexandros; Tefas, Anastasios

• Broschiertes Buch

Produktbeschreibung

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.

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Produktdetails

• Verlag: Elsevier Science & Technology
• Seitenzahl: 634
• Erscheinungstermin: 10. März 2022
• Englisch
• Abmessung: 192mm x 235mm x 35mm
• Gewicht: 1298g
• ISBN-13: 9780323857871
• ISBN-10: 0323857876
• Artikelnr.: 62233374

Inhaltsangabe

1. Introduction 2. Neural Networks and Backpropagation 3. Convolutional
Neural Networks 4. Graph Convolutional Networks 5. Recurrent Neural
Networks 6. Deep Reinforcement Learning 7. Lightweight Deep Learning 8.
Knowledge Distillation 9. Progressive and Compressive Deep Learning 10.
Representation Learning and Retrieval 11. Object Detection and Tracking 12.
Semantic Scene Segmentation for Robotics 13. 3D Object Detection and
Tracking 14. Human Activity Recognition 15. Deep Learning for Vision-based
Navigation in Autonomous Drone Racing 16. Robotic Grasping in Agile
Production 17. Deep learning in Multiagent Systems 18. Simulation
Environments 19. Biosignal time-series analysis 20. Medical Image Analysis
21. Deep learning for robotics examples using OpenDR