To create this kind of an FPGA implementation, we compress the 2D CNN by implementing dynamic quantization approaches. In place of wonderful-tuning an already trained network, this step entails retraining the CNN from scratch with constrained bitwidths with the weights and activations. This method is known as quantization-knowledgeable training (QAT). https://pablos789qjz3.blog4youth.com/profile