CAP5415 - Introduction to Convolutional Neural Networks Part 2 - Lecture 6

CAP5415 - Introduction to Convolutional Neural Networks Part 2 - Lecture 6

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Intro

1 of 19

1 of 19

Intro

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Classroom Contents

CAP5415 - Introduction to Convolutional Neural Networks Part 2 - Lecture 6

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  1. 1 Intro
  2. 2 General Architecture
  3. 3 Biases
  4. 4 Parameters
  5. 5 Kernels
  6. 6 AlexNet
  7. 7 Convolutional Layers
  8. 8 MaxPooling Layers
  9. 9 Conditional Layers
  10. 10 Filter Size
  11. 11 Feature Map
  12. 12 How many layers
  13. 13 Max pooling
  14. 14 Norm normalization
  15. 15 Algorithm Architecture
  16. 16 Maxpooling
  17. 17 Feature Maps
  18. 18 Low Level Features
  19. 19 Correlation vs Convolution

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