Resource Efficient Deep Reinforcement Learning for Acutely Constrained TinyML Devices Post date February 14, 2021 ← TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT → Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration
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