- Spaanenburg, Lambert, et al.
Natural learning of neural networks by reconfiguration
Ingår i: SPIE Proceedings on Bioengineered and Bioinspired Systems. - SPIE. - 0277-786X. ; 5119, s. 273-284
- The communicational and computational demands of neural networks are hard to satisfy in a digital technology. Temporal computing solves this problem by iteration, but leaves a slow network. Spatial computing was no option until the coming of modern FPGA devices. The letter shows how a small feed-forward neural module can be configured on the limited logic blocks between RAM and multiplier macro’s. It is then described how by spatial unrolling or by reconfiguration a large modular ANN can be built from such modules.