Multiclass Classification Archives

What type of machine learning model did the researchers settle on for their multiclass classification task in transcribing medieval texts, and why is it well-suited for this task?

Sunday, 06 August 2023 by EITCA Academy

The researchers settled on a Convolutional Neural Network (CNN) machine learning model for their multiclass classification task in transcribing medieval texts. This choice was well-suited for the task due to several reasons. Firstly, CNNs have proven to be highly effective in image recognition tasks, which is relevant to transcribing medieval texts as they often contain

Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow Applications, Helping paleographers transcribe medieval text with ML, Examination review

Tagged under: Artificial Intelligence, CNN, Computational Efficiency, Convolutional Neural Network, Deep Learning, Handwritten Characters, Hierarchical Representations, Image Recognition, Multiclass Classification, Transcribing Medieval Texts

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What type of machine learning model did the researchers settle on for their multiclass classification task in transcribing medieval texts, and why is it well-suited for this task?

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What type of machine learning model did the researchers settle on for their multiclass classification task in transcribing medieval texts, and why is it well-suited for this task?

Eligibility for EITCA Academy 80% EITCI DSJC Subsidy support