Random Initialization, Deep Learning.
extreme values. Good for preventing exploding or vanishing gradients. Xavier initialization: Tailored for specific activation functions like ReLU, ensuring gradients flow well through the network. He initialization: Similar to Xavier, but better suited for ReLU activations with zero bias. Section