What is the purpose of weight initialization in neural networks and why does it matter?

Question

Machine Learning — Medium

What is the purpose of weight initialization in neural networks and why does it matter?

Accepted Answer

Weight initialization is crucial in neural networks because it determines the starting values of parameters before training. Poor initialization, like setting all weights to zero, can lead to symmetry problems or vanishing/exploding gradients, which hinders the learning process.