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Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit
Performing the inference step of deep learning in resource constrained environments, such as embedded devices, is challenging.
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
In this research, we propose a new low-precision framework, TENT, to leverage the benefits of a tapered fixed-point numerical format in TinyML models.
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