L0 introduction

五个作业

读论文

课堂展示这个不用了吧

论文总结

Each paper summary should be about half a page

• What is the paper about?
• What is new about this specific paper, compared to prior work?
• What experiments were run to support the arguments in this paper?
• What are the shortcomings/limitations of this paper?
• What is a reasonable next step to build upon this paper?

Acknowledgements and Disclaimer
• Slides was developed in the reference with
Joel Emer, Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, ISCA 2019 tutorial
Efficient Processing of Deep Neural Network, Vivienne Sze, Yu-Hsin Chen, Tien-Ju
Yang, Joel Emer, Morgan and Claypool Publisher, 2020
Yakun Sophia Shao, EE290-2: Hardware for Machine Learning, UC Berkeley, 2020
CS231n Convolutional Neural Networks for Visual Recognition, Stanford University,
2020