Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption?

Karthick Panner Selvam; Mats Brorsson

doi:10.14569/ijacsa.2024.0150610

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JOURNAL ARTICLE

Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption?

Karthick Panner Selvam Mats Brorsson

Year: 2024 Journal: International Journal of Advanced Computer Science and Applications Vol: 15 (6) Publisher: Science and Information Organization

DOI: 10.14569/ijacsa.2024.0150610

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Abstract

peer reviewed

Keywords:

Computer science Machine learning Artificial intelligence Metric (unit) Deep learning Unsupervised learning Supervised learning Graph Artificial neural network Code (set theory) Predictive modelling Semi-supervised learning Mean absolute percentage error Performance metric

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Topics

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Ferroelectric and Negative Capacitance Devices

Physical Sciences → Engineering → Electrical and Electronic Engineering

Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption?

Abstract

Metrics

Topics

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