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alexnet.cfg 910 B

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  1. [net]
  2. # Training
  3. # batch=128
  4. # subdivisions=1
  5. # Testing
  6. batch=1
  7. subdivisions=1
  8. height=227
  9. width=227
  10. channels=3
  11. momentum=0.9
  12. decay=0.0005
  13. max_crop=256
  14. learning_rate=0.01
  15. policy=poly
  16. power=4
  17. max_batches=800000
  18. angle=7
  19. hue = .1
  20. saturation=.75
  21. exposure=.75
  22. aspect=.75
  23. [convolutional]
  24. filters=96
  25. size=11
  26. stride=4
  27. pad=0
  28. activation=relu
  29. [maxpool]
  30. size=3
  31. stride=2
  32. padding=0
  33. [convolutional]
  34. filters=256
  35. size=5
  36. stride=1
  37. pad=1
  38. activation=relu
  39. [maxpool]
  40. size=3
  41. stride=2
  42. padding=0
  43. [convolutional]
  44. filters=384
  45. size=3
  46. stride=1
  47. pad=1
  48. activation=relu
  49. [convolutional]
  50. filters=384
  51. size=3
  52. stride=1
  53. pad=1
  54. activation=relu
  55. [convolutional]
  56. filters=256
  57. size=3
  58. stride=1
  59. pad=1
  60. activation=relu
  61. [maxpool]
  62. size=3
  63. stride=2
  64. padding=0
  65. [connected]
  66. output=4096
  67. activation=relu
  68. [dropout]
  69. probability=.5
  70. [connected]
  71. output=4096
  72. activation=relu
  73. [dropout]
  74. probability=.5
  75. [connected]
  76. output=1000
  77. activation=linear
  78. [softmax]
  79. groups=1