Abstract | ||
---|---|---|
Deep Learning techniques are widely adopted in many computer vision tasks and are practically implemented in real-world systems. Deep learning is a promising method for machine learning, where complex functions can be learned directly from the data. Deep learning algorithms provide high accuracy for recognition tasks, while consuming significant resources for computation, compared to the conventio... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/VDAT53777.2021.9600988 | 2021 25th International Symposium on VLSI Design and Test (VDAT) |
Keywords | DocType | ISBN |
Deep learning,FPGA,Sparse matrix,Performance | Conference | 978-1-6654-1992-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
M Mahesh | 1 | 0 | 0.34 |
Nalesh, S. | 2 | 9 | 2.36 |
Srikant Manas Kala | 3 | 41 | 10.27 |