| dc.contributor.author |
Devnath, Joydeep Kumar |
|
| dc.contributor.author |
Surana, Neelam |
|
| dc.contributor.author |
Mekie, Joycee |
|
| dc.contributor.other |
33rd International Conference on VLSI Design and 19th International Conference on Embedded Systems (VLSID 2020) |
|
| dc.coverage.spatial |
Bangalore, IN |
|
| dc.date.accessioned |
2020-08-21T10:51:23Z |
|
| dc.date.available |
2020-08-21T10:51:23Z |
|
| dc.date.issued |
2020-01-04 |
|
| dc.identifier.citation |
Devnath, Joydeep Kumar; Surana, Neelam and Mekie, Joycee, "A mathematical approach towards quantization of floating point weights in low power neural networks", in the 33rd International Conference on VLSI Design and 19th International Conference on Embedded Systems (VLSID 2020), Bangalore, IN, Jan. 4-8, 2020. |
en_US |
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/5661 |
|
| dc.description.statementofresponsibility |
by Joydeep Kumar Devnath, Neelam Surana and Joycee Mekie |
|
| dc.language.iso |
en_US |
en_US |
| dc.title |
A mathematical approach towards quantization of floating point weights in low power neural networks |
en_US |
| dc.type |
Article |
en_US |