Learn to build custom neural-network layers and accelerate model training with performance-driven PyTorch techniques.
This hands-on, engineer-focused course teaches you how to design differentiable modules, diagnose bottlenecks, and apply optimizations like mixed precision and gradient accumulation to significantly boost training throughput.
