Deep Learning on FPGA: From Model Training to Inference

The integration of Deep Learning models with FPGA (Field-Programmable Gate Array) platforms, like PYNQ Z2, offers advantages such as adaptability and performance. This article explores the technical steps of this integration, from the initial model training phase to achieving high inference speeds on the FPGA. This is a representation of a full workflow in FPGA […]