Why does weight initialization matter, and what are Xavier and He initialization?
Bad initialization makes deep nets fail to train at all, with activations that vanish or explode through depth. What matters is knowing why zero init is fatal and how to match Xavier or He to your activation function.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Bad initialization makes deep nets fail to train at all, with activations that vanish or explode through depth. What matters is knowing why zero init is fatal and how to match Xavier or He to your activation function.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
