As you've probably guessed, we are going to be solving a binary classification problem. We will start by planning the problem using the same framework we established in Chapter 2, Using Deep Learning to Solve Regression Problems, and modify it as needed. You can find the complete code for this chapter in the book's GitHub repository, under Chapter 4, Using Deep Learning to Solve Regression Problems.
Case study – epileptic seizure recognition
Defining our dataset
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...