Time Series Anomaly Detection using LSTM Autoencoders with PyTorch in Python

Human Action Recognition using Detectron2 and LSTM

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