Implementation of Quantized Neural Networks in SOC

The student will be able to implement quantized neural networks on the FPGA and CPU of an Xlinx SoC. During the project, the student will be able to implement three examples of increasing complexity, demonstrating the training, quantization, and implementation of quantized networks. As a result of the project, the student will experimentally validate the trained networks.