In this chapter, we will cover some other important techniques to consider when training a deep neural network.
Weight Initialization
Weight initialization is a technique for assigning initial values to the weights (parameters) of the neural network before training (see Figure
32-1). Proper weight initialization may mitigate the effects of vanishing and exploding gradients when training the network. It may also speed up the training process. Two commonly used methods for weight initializations are the Xavier and the ...