Deep learning classifiers with memristive networks theory and applications /
This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep lea...
| Other Authors: | James, Alex Pappachen,, SpringerLink (Online Service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2020]
|
| Physical Description: |
1 online resource (xiii, 213 pages) : illustrations (some color) |
| Series: |
Modeling and optimization in science and technologies ;
v. 14. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |