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To establish these types of an FPGA implementation, we compress the 2nd CNN by implementing dynamic quantization approaches. Instead of great-tuning an already qualified network, this action requires retraining the CNN from scratch with constrained bitwidths for your weights and activations. This approach is referred to as quantization-mindful training (QAT). https://harlane024fas1.wikifrontier.com/user

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