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Sign language detection project by the students of Garden High School Sign language detection using deep learning involves using vision-based systems to recognize hand gestures, facial expressions, and body movements from a video feed. These systems commonly use deep learning architectures like Convolutional Neural Networks (CNNs) for image feature extraction and Recurrent Neural Networks (RNNs), such as Long Short-Term Memory (LSTM), for processing the sequential nature of signs and gestures. T
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Sign language detection project by the students of Garden High School Sign language detection using deep learning involves using vision-based systems to recognize hand gestures, facial expressions, and body movements from a video feed. These systems commonly use deep learning architectures like Convolutional Neural Networks (CNNs) for image feature extraction and Recurrent Neural Networks (RNNs), such as Long Short-Term Memory (LSTM), for processing the sequential nature of signs and gestures. T
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