To establish these an FPGA implementation, we compress the 2nd CNN by implementing dynamic quantization procedures. Rather than high-quality-tuning an already skilled network, this phase entails retraining the CNN from scratch with constrained bitwidths for that weights and activations. This approach known as quantization-mindful training (QAT). The resulting compressed CNN https://agnesl234btk7.wikirecognition.com/user