Hardware Lecture

Computer Vision

Advances in Computer Vision 

EDA

Introduction to VLSI CAD

Self learning computer science

Self-learning-Computer-Science 

Network on Chip

Networks-on-Chip 

Asynchronous circuits

asyncsymposium2024 

Hardware Architecture for Deep Learning

Hardware Architecture for Deep Learning (MIT) 

Computer Architecture

 Yonghong Yan (University of South Carolina) 

Christopher Batten (Cornell University) 

Chris Terman (MIT) 

Chris Terman (MIT) _2 

Joel Emer and Mengjia Yan (MIT) 

Steve Ward(MIT)

Kevin Webb (Swarthmore College) 

Onur Mutlu 

David Harris 

Behrooz Parhami (UCSB) 

Steve Norman (ucalgary) 

Krste Asanović (UCB) 

Parallel Computing

Lawrence Rauchwerger (UIUC)  

ASIC

Joel Emer Hardware Architecture for Deep Learning (MIT) 

Victor P. Nelson_Computer-Aided Design of Digital Circuits_(Auburn University) 

Bevan Baas_VLSI Digital Signal Processing_(UC Davis) 

John Wawrzynek Introduction to Digital Design and Integrated Circuits_(UC berkeley) 

Christopher Batten Complex Digital ASIC Design (Cornell University) 

6.111 introductory digital systems laboratory (MIT) 

Chung-Kuan Cheng (UCSD) 

Chris Terman Complex Digital Systems (MIT) 

Bevan Baas (UCD) 

Zero to asic course 

VLSI

chintan patel (UMBC) 

vlsi-backend-adventure 

VLSI tutorials 

Analysis And Design Of Digital Integrated Circuits(Anantha Chandrakasan) 

Accellera 

Semiconductor

Semiconductor engineering (KR) 

ML (Machine Learning)

Introduction to Machine Learning 

Machine learning and deep learning (KR) 

Practical Deep Learning 

Neural Networks: Zero to Hero 

Onebook(KR) 

Fei-Fei Li Deep Learning for Computer Vision (Stanford University) 

Open courseware

SNU 

Academic earth

Logic circuit

Fundamentals of Digital Design 

introductory digital systems laboratory