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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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Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings (Paperback, 1st ed. 2022)
Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis
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R3,041
Discovery Miles 30 410
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 23rd
International Conference on Engineering Applications of Neural
Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June
2022. The 37 revised full papers and 5 revised short papers
presented were carefully reviewed and selected from 72 submissions.
The papers are organized in topical sections on Bio inspired
Modeling / Novel Neural Architectures; Classification / Clustering;
Machine Learning; Convolutional / Deep Learning; Datamining /
Learning / Autoencoders; Deep Learning / Blockchain; Machine
Learning for Medical Images / Genome Classification; Reinforcement
/Adversarial / Echo State Neural Networks; Robotics / Autonomous
Vehicles, Photonic Neural Networks; Text Classification / Natural
Language.
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