Deep Learning with FPGA – Amund Tveit's BlogThis chapter presents recent papers for using FPGAs (Field Programmable Gate Arrays) for Deep Learning. FPGAs can roughly be seen as a Software-configurable Hardware, i.e you in some cases get close to dedicated hardware speed (although typically at lower clock frequency than chips, but typically with strong on-FPGA parallelism), this can be a potential good fit for e.g. Convolutional Neural Netwo
