Towards convolutional neural network acceleration and compression based on simon k-means

HIGHLIGHTS

• who: Mingjie Wei and colleagues from the The College of Computer Science, National University of Defence Technology, Changsha, China have published the article: Towards Convolutional Neural Network Acceleration and Compression Based on Simon k-Means, in the Journal: Sensors 2022, 22, 4298. of /2022/
• what: Unlike in prior designs the authors propose a novel model compression approach based on Simon k-means which is specifically designed to support a hardware acceleration scheme. The authors propose an extension algorithm named Simon k-means based on simple k-means. The authors provide the hardware implementation of the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.