Abstract: This paper introduces an enhanced approach for deploying deep learning models on resource-constrained IoT devices by combining model partitioning, autoencoder-based compression, quantization ...
quantization_tax/ ├── src/ # 源代码 │ ├── models/ # 模型加载和量化 │ ├── data/ # 数据生成和加载 │ ├── inference ...
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