As Simulated Annealing is applied for Deep Learning using Convolutional Neural Network likewise Quantum Annealing can be applied for it or not.
According to these two papers
"Simulated Annealing Algorithm for Deep Learning" [1]
"Application of Quantum Annealing to Training of Deep Neural Networks" [2]
Both have used Annealing technique for optimization of the problems but with different learning types. Therefore, my concern is whether Quantum Annealing can be applied for Convolutional Neural Networks as well as or not.
If yes then how? if no then why not?
Any reference or related theories or work will be a great help.
Thank you in advance.
[1]: https://core.ac.uk/download/pdf/81975354.pdf
[2]: https://pdfs.semanticscholar.org/0e99/1df08b00cb5d2af0b2324a64304bce4677b0.pdf
yes, it can be done when data set is given from from the human subject. As similar to BCI (Brain Computer Interface)
- Badges
- Science topic
- Similar topics
- Papers