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Generalization with deep learning: for improvement on sensing capability

Contributor(s):

Material type: Text

TextPublication details: World Scientific Publishing Company Pvt. Ltd. New Jersey 2021Description: xii, 314 pISBN:

9789811218835

Subject(s):

DDC classification:

006.31 CHE

Summary: 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.

List(s) this item appears in: IT & Decision Sciences | Public Policy & General Management

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 CHE (Browse shelf(Opens below))	1	Available		004275

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Previous	006.31 ALP Machine learning	006.31 BER Mathematics of deep learning: an introduction	006.31 BRI Real-world machine learning	006.31 CHE Generalization with deep learning:	006.31 CLA Mathematics and programming for machine learning with R:	006.31 DAS Deep learning	006.31 DTE Big data, black book:	Next

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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