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Jan 21st, 2019
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  1. Name: Kernel5padding2last3
  2. Layer 1 ZeroPadding2D((2, 2), (2, 2))
  3. Layer 2 Conv2D( filters = 32, kernel = (5, 5), activation = relu)
  4. Layer 3 BatchNormalization()
  5.  
  6. Layer 4 MaxPooling2D( pool_size = (2, 2), strides = (2, 2))
  7. Layer 5 ZeroPadding2D((2, 2), (2, 2))
  8. Layer 6 Conv2D( filters = 64, kernel = (5, 5), activation = relu)
  9. Layer 7 BatchNormalization()
  10.  
  11. Layer 8 MaxPooling2D( pool_size = (2, 2), strides = (2, 2))
  12. Layer 9 ZeroPadding2D((2, 2), (2, 2))
  13. Layer 10 Conv2D( filters = 128, kernel = (5, 5), activation = relu)
  14. Layer 11 BatchNormalization()
  15.  
  16. Layer 12 MaxPooling2D( pool_size = (2, 2), strides = (2, 2))
  17. Layer 13 ZeroPadding2D((2, 2), (2, 2))
  18. Layer 14 Conv2D( filters = 256, kernel = (5, 5), activation = relu)
  19. Layer 15 BatchNormalization()
  20.  
  21. Layer 16 MaxPooling2D( pool_size = (2, 2), strides = (2, 2))
  22. Layer 17 ZeroPadding2D((2, 2), (2, 2))
  23. Layer 18 Conv2D( filters = 512, kernel = (5, 5), activation = relu)
  24. Layer 19 BatchNormalization()
  25.  
  26. Layer 20 ZeroPadding2D((2, 2), (2, 2))
  27. Layer 21 Conv2D( filters = 512, kernel = (5, 5), activation = relu)
  28. Layer 22 BatchNormalization()
  29.  
  30. Layer 23 UpSampling2D( size = (2, 2))
  31. Layer 24 ZeroPadding2D((2, 2), (2, 2))
  32. Layer 25 Conv2D( filters = 256, kernel = (5, 5), activation = relu)
  33. Layer 26 BatchNormalization()
  34.  
  35. Layer 27 UpSampling2D( size = (2, 2))
  36. Layer 28 ZeroPadding2D((2, 2), (2, 2))
  37. Layer 29 Conv2D( filters = 128, kernel = (5, 5), activation = relu)
  38. Layer 30 BatchNormalization()
  39.  
  40. Layer 31 UpSampling2D( size = (2, 2))
  41. Layer 32 ZeroPadding2D((2, 2), (2, 2))
  42. Layer 33 Conv2D( filters = 64, kernel = (5, 5), activation = relu)
  43. Layer 34 BatchNormalization()
  44.  
  45. Layer 35 UpSampling2D( size = (2, 2))
  46. Layer 36 ZeroPadding2D((3, 3), (3, 3))
  47. Layer 37 Conv2D( filters = 32, kernel = (5, 5), activation = relu)
  48. Layer 38 BatchNormalization()
  49.  
  50. Layer 39 Conv2D( filters = 4, kernel = (1, 1), activation = linear)
  51. Layer 40 Activation( softmax )
  52.  
  53.  
  54. 32/100 [========>.....................] - ETA: 3s
  55. 64/100 [==================>...........] - ETA: 1s
  56. 96/100 [===========================>..] - ETA: 0s
  57. 100/100 [==============================] - 2s 23ms/step
  58. Test loss: 0.37821658968925476
  59. Test accuracy: 0.8860805583000183
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