The dataset that we will be working on this chapter is called the Epileptic Seizure Recognition dataset. The data originally comes from a paper titled Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state by Andrzejak RG and others, published in Phys. Rev. E, 64, 061907. You can find the data at the UCI machine learning repository at http://archive.ics.uci.edu/ml/datasets/Epileptic+Seizure+Recognition.

Our goal is to create a deep neural network that can predict whether the patient is having a seizure or not, given the input features.