Video classification with Keras and Deep Learning - PyImageSearch

In this tutorial, you will learn how to perform video classification using Keras, Python, and Deep Learning. This tutorial will serve as an introduction to the concept of working with deep learning in a temporal nature, paving the way for when we discuss Long Short-term Memory networks (LSTMs) and eventually human activity recognition. To learn how to perform video classification with Keras and Deep learning, just keep reading! Videos can be understood as a series of individual images; and therefore, many deep learning practitioners would be quick to treat video classification as performing image classification a total of N times, where N is the total number of frames in a video. Video classification is more than just simple image classification -- with video we can typically make the assumption that subsequent frames in a video are correlated with respect to their semantic contents.