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Deciphering Ancient Chinese Scripts with Convolutional Neural Networks : A Study on Calligraphic Styles in Classical Chinese Texts
(2023)
The primary objective of this study was to employ deep learning algorithms, specifically convolutional neural networks (CNN), to identify and classify calligraph styles in classical Chinese texts. Samples representing four ...
Pretrained Neural Networks in HSC Chemistry Sim
(2024)
Many researchers are familiar with the Python programming language and can create machine learning models using popular third-party tools such as TensorFlow and PyTorch. Unfortunately, the use of these models in HSC Sim ...