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Handbook of Deep Learning Applications
Valentina Emilia Balas
, Sanjiban Sekhar Roy
,
Dharmendra Sharma
, Pijush Samui
Information Systems
Research output
:
Book/Report
›
Edited Book
›
peer-review
Overview
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Dive into the research topics of 'Handbook of Deep Learning Applications'. Together they form a unique fingerprint.
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Keyphrases
Deep Learning
100%
Deep Learning Applications
100%
Computation Time
33%
Gene Expression
33%
Object Recognition
33%
Big Data Processing
33%
Machine Learning Techniques
33%
Brain-computer Interface
33%
Learning Algorithm
33%
Natural Language Processing
33%
Game Playing
33%
Deep Learning Framework
33%
Advanced Level
33%
Learning Implementation
33%
Deep Learning Network
33%
Driverless Cars
33%
Complexity of Reasoning
33%
Nonlinear Neuron
33%
Arbitrary Objects
33%
GPU Acceleration
33%
Semantic Image Segmentation
33%
Regret Matching
33%
Hierarchical Deep Neural Network
33%
Computer Science
Deep Learning Method
100%
Computation Time
16%
Image Segmentation
16%
Object Recognition
16%
Learning Framework
16%
Big Data Processing
16%
Learning Algorithm
16%
Machine Learning Technique
16%
Natural Language Processing
16%
Complexity of Reasoning
16%
Semantic Image
16%
Graphics Processing Unit
16%
Game Playing
16%
Related Application
16%