In this tutorial, we'll discuss some regularization methods in deep learning. Recall that machine learning models, including deep learning models are susceptible to overfitting, and regularization methods are techniques to prevent or curtail it. In this tutorial, we'll discuss early stopping, data augmentation and transfer learning. An important regularization technique, dropout, is discussed in more detail in the next tutorial which has proven very successful for deep learning models.
Part of course:
Regularization methods in Deep Learning