Neural architecture ... models); learning curve extrapolation (based on a just a few epochs); warm-started training (initialize weights by copying them from a parent model); and one-shot models ...

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice ... being used to connect pool/LRN kernels for CNNs. As the diagram ...