Neural Network Projects with Python

Deep feedforward networks

So far in this chapter, we have done an in-depth visualization of the dataset, cleaned up the dataset by handling outliers, and also performed feature engineering to create useful features for our model. For the rest of the chapter, we'll talk about the architecture of deep feedforward neural networks, and we'll train one in Keras for a regression task.