A survey on deep learning tools dealing with data scarcity: definitions, challenges, ... | RTCL.TV

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### Keywords ###
#Deeplearning #Datascarcity #Machinelearning #Convolutionalneuralnetwork(CNN) #Deepneuralnetworkarchitectures #Lackoftrainingdata #RTCLTV

### Article Attribution ###
Title: A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Authors: Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, Jose Santamaría, A. S. Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin Abbosh ,and Yuantong Gu
Publisher: SpringerOpen
DOI: 10.1186/s40537-023-00727-2
DOAJ URL: https://doaj.org/article/e89bb33ad45f4c8798a853af2b13acd6
Source URL: https://doi.org/10.1186/s40537-023-00727-2



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### Video Timestamps ###
0:00:00 - Summary
0:01:15 - Title
0:01:21 - Outro
0:01:26 - End




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Tags:
Convolutional neural network (CNN)
Data scarcity
Deep learning
Deep neural network architectures
Lack of training data
Machine learning
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