A CNN implementation for sign language classification in PyTorch Could obtain an accuracy of 80% on the test dataset
The Convnet Architecture is as follows: CONV1 -> POOL1 -> CONV2 -> POOL2 -> FC1 -> FC2
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A CNN implementation for sign language classification in PyTorch
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