Classify the activity or action contained in a sequence of images from visual data sources, such as a video stream, into a set of categories using deep learning. Vision-based activity recognition involves predicting the action within a sequence of images, such as walking, swimming, or sitting, using a set of video frames. Activity recognition from video has many applications, such as human-computer interaction, anomaly detection, and surveillance. To learn more, seeGetting Started with Video Classification Using Deep Learning.