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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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