ML硬件加速+嵌入式系统

EE Fall 2023 Class Schedule | EECS at UC Berkeley

机器学习需要的硬件/硬件加速

伯克利EE290

1.Hardware for Machine Learning, Spring 2021 (berkeley.edu)【课程主页】

加州大学伯克利分校 EE 290 机器学习硬件技术 Hardware for Machine Learning(Spring 2021)_哔哩哔哩_bilibili【视频】

斯坦福CS217

2.Hardware Accelerators for Machine Learning (CS 217) by cs217 (stanford.edu)

来自体系结构宗师的Hennessy Patterson

斯坦福CS217(一)Introduction - 知乎 (zhihu.com)

Lecture Notes (Fall 2018)

Reading list and other resources

Basic information about deep learning

Cheat sheet – things that everyone needs to know

Blogs

嵌入式系统EE149

【伯克利】EECS 149嵌入式系统及网络物理系统导论 更新中 Fa23 Intro to Embedded & Cyber-Physical System 1_哔哩哔哩_bilibili

 

 【公开课】伯克利 - 嵌入式系统概论 - EE149/EE249A(Introduction to Embedded Systems,UC Berkeley)_哔哩哔哩_bilibili 2012version

https://ptolemy.berkeley.edu/projects/chess/eecs149/ 2015fall的课程主页

EECS16A, Designing Information Devices and Systems I Fall 2023

EECS16A: Designing Information Devices and Systems I, Fall 2023

他们怎么敢把所有年份每个学期的期中期末都放上来啊!!!

是真希望学生学会(当然说不定考起来很难

EECS16B, Designing Information Devices and Systems II

EECS16B: Designing Information Devices and Systems II, Fall 2023

 看EECS16A的教学计划觉得,他们的学业压力难怪那么大,一周四次课,每周两次作业,七周上完。这个压力简直难以想象……

EECS16B好一点,有16周,每周两次

 

posted @ 2023-10-30 19:12  asandstar  阅读(94)  评论(0编辑  收藏  举报