Showing 1 - 20 results of 3,108 for search '(( trained ((cnn decrease) OR (mean decrease)) ) OR ( a ((larger decrease) OR (marked decrease)) ))', query time: 0.34s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

    Training Data/Validation/Test. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  10. 10
  11. 11

    CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  12. 12

    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17

    Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  18. 18

    CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  19. 19
  20. 20