HAT：用于高效自然语言处理的硬件感知变压器
inproceedings{hanruiwang2020hat,
title = {HAT: Hardware-Aware Transformers for Efficient Natural Language Processing},
author = {Wang, Hanrui and Wu, Zhanghao and Liu, Zhijian and Cai, Han and Zhu, Ligeng and G
In this paper, we are concerned with a class of neural networks with Mexican-hat-type activation functions. Due to the different structure from neural networks with saturated activation functions, a set of new sufficient conditions are presented to s
go-epaper-lib
与Waveshare（tm）电子纸HAT一起用于Raspberry Pi的golang库。
The current version is developed/tested only for the 2.7 inches, black-and-white HAT.
Hopefully, new models will be available in the future, but, at the moment,
keep in mind that all info
