Keywords
Artificial intelligenceDeep learningComputer scienceBig dataTaxonomy (biology)Data scienceMachine learningUnsupervised learningContext (archaeology)Data mining
Affiliated Institutions
Related Publications
Deep Learning applications for COVID-19
Abstract This survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19. We cover Deep Learning applications in...
A Survey on Deep Learning
The field of machine learning is witnessing its golden era as deep learning slowly becomes the leader in this domain. Deep learning uses multiple layers to represent the abstrac...
Deep learning for time series classification: a review
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been...
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure ...
Deep Learning for Generic Object Detection: A Survey
Abstract Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories...
Publication Info
- Year
- 2021
- Type
- review
- Volume
- 2
- Issue
- 6
- Pages
- 420-420
- Citations
- 2122
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
2122
OpenAlex
0
Influential
Cite This
Iqbal H. Sarker
(2021).
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions.
SN Computer Science
, 2
(6)
, 420-420.
https://doi.org/10.1007/s42979-021-00815-1
Identifiers
- DOI
- 10.1007/s42979-021-00815-1
- PMID
- 34426802
- PMCID
- PMC8372231