Accurate and compact convolutional neural network based on stochastic computing
Convolutional Neural Networks (CNNs) achieve state-of-the-art performance in many recognition problems. However, CNN models are computation-intensive and require enormous resources and power, limiting their applicability in embedded systems with limited area and power budget. An alternative computin...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier B.V.
2022
|
| Subjects: |