To build these types of an FPGA implementation, we compress the 2D CNN by applying dynamic quantization strategies. As an alternative to fantastic-tuning an already trained network, this stage entails retraining the CNN from scratch with constrained bitwidths for your weights and activations. This system is called quantization-informed teaching (QAT). https://wesleyo345zmx0.blgwiki.com/user