Browsing by Subject "Neural Architecture Search"

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AutoMID : A Novel Framework for Automated Computer Aided Diagnosis of Medical Images

Wijegunathileke, Ayesmantha (2022)

Machine Learning, a subtype of AI, enables computers to mimic human behavior without explicit programming. This study aims to apply automated machine learning to the diagnosis of medical images to make machine learning ...
iSegmentor - Automating Generative Adversarial Networks using Neural Architecture Search for Semantic Image Segmentation

Ganepola, V. V. V (2021)

" Semantic image segmentation is a crucial task in various fields that use computer-vision based applications. Generative Adversarial Networks (GANs) are attracting widespread interest in the data science community ...
S2NAS : Neural Architecture Search for Automating Architecture Engineering of Generative Adversarial Networks

Buthgamumudalige, V.U (2021)

" Generative Adversarial Networks of GANs are a Machine Learning Framework that have been rising in popularity in the research domain due to its vast generation capabilities. This allows the generative models to learn ...

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