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About Sign Language Character Recognition Research Paper
This paper presents a method for using deep convolutional networks to classify images of American Sign Language (ASL) letters and digits. The authors trained a CNN from scratch on a dataset of ASL images to classify each letter and digit. Their network architecture included convolutional and dense layers. They achieved high training accuracy on classifying ASL letters and digits, but validation accuracy was lower when training and testing on different datasets, indicating overfitting. The paper demonstrates the potential of using deep learning for ASL recognition from images.
Detailed Information
| Author: | ['Vanilla Suga'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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