Deep Learning has achieved great success in many challenging
research areas, such as image recognition and natural language
processing. The key merit of deep learning is to automatically
learn good feature representation from massive data conceptually.
In this book, we will show that the deep learning technology can be
a very good candidate for improving sensing capabilities.In this
edited volume, we aim to narrow the gap between humans and machines
by showcasing various deep learning applications in the area of
sensing. The book will cover the fundamentals of deep learning
techniques and their applications in real-world problems including
activity sensing, remote sensing and medical sensing. It will
demonstrate how different deep learning techniques help to improve
the sensing capabilities and enable scientists and practitioners to
make insightful observations and generate invaluable discoveries
from different types of data.
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