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Final cnn shruthi gali

•
•
S
Sam Ram
EducaciónTecnología
1 de 21
Biological Neurons Artificial Neurons
CELLULAR NEURAL NETWORKS G. Shruthi 06B61A0521 Under the Guidance of Rajashree sutrawe Assoc. Prof CSE-Dept & HOD of IT Dept
OVERVIEW ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],INTRODUCTION
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
History of CNN ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Architecture of CNN ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Definition: r-neighborhood ,[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Applications
[object Object],[object Object]
[object Object],Experimental results CNN Approach (a) Original image (40% defects) (b) Restored image. ,[object Object]
Figure: Experimental results in different noise conditions with CNN.
Advantages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CONCLUSION CNN processors have been implemented using current technology and there are plans to implement CNN processors into future technologies. They include the necessary interfaces for programming and interfacing, and have been implemented in a variety of systems and provide value to their users. Researchers are also transitioning CNN processors into emerging technologies.
Future Scope One potential future application of CNN microprocessors is to combine them with the DNA microarrays to allow for a near- real time DNA analysis of hundreds of thousands of different DNA sequences.
REFERENCES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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Final cnn shruthi gali

  • 2. CELLULAR NEURAL NETWORKS G. Shruthi 06B61A0521 Under the Guidance of Rajashree sutrawe Assoc. Prof CSE-Dept & HOD of IT Dept
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. Figure: Experimental results in different noise conditions with CNN.
  • 16.
  • 17. CONCLUSION CNN processors have been implemented using current technology and there are plans to implement CNN processors into future technologies. They include the necessary interfaces for programming and interfacing, and have been implemented in a variety of systems and provide value to their users. Researchers are also transitioning CNN processors into emerging technologies.
  • 18. Future Scope One potential future application of CNN microprocessors is to combine them with the DNA microarrays to allow for a near- real time DNA analysis of hundreds of thousands of different DNA sequences.
  • 19.