Deep Learning Technologies for Social Impact

By:

Benedict Shajulin

Material type: Text

TextSeries: IOP Series in Next Generation ComputingPublication details: Bristol IOP Publishing 2022ISBN:

9780750340229

Subject(s):

DDC classification:

006.31 BEN/D

Contents:

I Introduction 1 Deep Learning for Social Good – An Introduction 2 Applications for Social Good 3 Computing Architectures – Base Technologies II Deep Learning Techniques 4 CNN Techniques 5 Object Detection Techniques and Algorithms 6 Sentiment Analysis – Algorithms and Frameworks 7 Auto Encoders and Variational AutoEncoders 8 GANs and Disentangled Mechanisms 9 Deep Reinforcement Learning architectures 10 Facial Recognition and Applications III Security, Performance, and Future Directions 11 Data Security and Platforms 12 Performance Monitoring and Analysis 13 Deep Learning – The future perspectives

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Reference	IIIT Kottayam Central Library Reference	006.31 BEN/D (Browse shelf(Opens below))	Not For Loan		2798

Total holds: 0

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Previous	006.3076 GKP GATE 2026 :Data Science & Artificial Intelligence	006.3076 GKP GATE 2026 :Data Science & Artificial Intelligence	006.31 BEL/M Machine Learning for Big Data :Hands-On for Developers and Technical Professionals	006.31 BEN/D Deep Learning Technologies for Social Impact	006.31 CHA/P Privacy-Preserving Machine Learning	006.31 CHI/M Machine learning and security : protecting systems with data and algorithms	006.31 CHO/D Deep Learning with Python	Next

I Introduction
1 Deep Learning for Social Good – An Introduction
2 Applications for Social Good
3 Computing Architectures – Base Technologies
II Deep Learning Techniques
4 CNN Techniques
5 Object Detection Techniques and Algorithms
6 Sentiment Analysis – Algorithms and Frameworks
7 Auto Encoders and Variational AutoEncoders
8 GANs and Disentangled Mechanisms
9 Deep Reinforcement Learning architectures
10 Facial Recognition and Applications
III Security, Performance, and Future Directions
11 Data Security and Platforms
12 Performance Monitoring and Analysis
13 Deep Learning – The future perspectives

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