Sequence classification is a predictive modeling problem where you have some sequence of inputs over space or time and the task is to predict a category for the sequence. What makes this problem di!cult is that the sequences can vary in length, be comprised of a very large vocabulary of input symbols and may require the model to learn the long term context or dependencies between symbols in the input sequence. In this project we will discover how we can develop LSTM recurrent neural network models for sequence classification problems in Python using the Keras deep learning library.
tutorial source: Deep Learning With Python, Develop Deep Learning Models On Theano And TensorFlow Using Keras, Jason Brownlee