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