In this chapter, we will use Keras and TensorFlow to take on a 10-class multiclass classification problem with lots of independent variables. As before, we will talk about the pros and cons of using deep learning for this problem; however, you won't find many cons. Lastly, we will spend a good amount of time talking about methods to control overfitting.
We will cover the following topics in this chapter:
- Multiclass classification and deep neural networks
- Case study – handwritten digit classification
- Building a multiclass classifier in Keras
- Controlling variance with dropout
- Controlling variance with regularization
