Edge AI and Vision Insights: September 25, 2024
OPTIMIZING DEEP NEURAL NETWORK EFFICIENCY DNN Quantization: Theory to Practice Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run these models on resource-constrained devices. Quantization involves modifying DNNs to use smaller data types (e.g., switching from 32-bit floating-point values to 8-bit integer values). Quantization […]
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