AI & Machine Learning
Deeper Nets Don't Always Mean Better: Unpacking Covariate Shift and Skip Connections
Stack more layers, get worse results? That's the paradox of deep nets. Batch norm and residuals cracked it, powering everything from ImageNet wins to today's LLMs.