This is your go-to playground for training Vision Transformers (ViT) and its related models on CIFAR-10/CIFAR-100, a common benchmark dataset in computer vision. The whole codebase is implemented in ...
Abstract: In this article, we propose a generic FPGA-based training accelerator tailored for RepVGG-like networks, which strikes a balance between maximizing training-time accuracy and minimizing ...
Abstract: On-device training of deep neural networks (DNNs) allows models to adapt and fine tune to newly collected data or changing domains while deployed on microcontroller units (MCUs). However, ...
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