CNN customized for FPGA deployment

This project focuses on designing a highly efficient Convolutional Neural Network (CNN) for image classification on the CIFAR-10 dataset. Through an iterative design process, the architecture was optimized to balance high accuracy with low computational complexity, making it suitable for hardware deployment on Field Programmable Gate Arrays (FPGAs).