Deep Learning Regularization
In this chapter, we will cover several tricks and techniques to regularize neural networks. We will reuse the L2 regularization technique, as we did in linear models, for example. But there are other techniques not yet presented in this book, such as early stopping and dropout, which will be covered in this chapter.
In this chapter, we’ll look at the following recipes:
- Regularizing a neural network with L2 regularization
- Regularizing a neural network with early stopping
- Regularization with network architecture
- Regularizing with dropout
