cifar.test.cfg 1.1 KB

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  1. [net]
  2. batch=128
  3. subdivisions=1
  4. height=32
  5. width=32
  6. channels=3
  7. momentum=0.9
  8. decay=0.0005
  9. learning_rate=0.4
  10. policy=poly
  11. power=4
  12. max_batches = 50000
  13. [convolutional]
  14. batch_normalize=1
  15. filters=128
  16. size=3
  17. stride=1
  18. pad=1
  19. activation=leaky
  20. [convolutional]
  21. batch_normalize=1
  22. filters=128
  23. size=3
  24. stride=1
  25. pad=1
  26. activation=leaky
  27. [convolutional]
  28. batch_normalize=1
  29. filters=128
  30. size=3
  31. stride=1
  32. pad=1
  33. activation=leaky
  34. [maxpool]
  35. size=2
  36. stride=2
  37. [dropout]
  38. probability=.5
  39. [convolutional]
  40. batch_normalize=1
  41. filters=256
  42. size=3
  43. stride=1
  44. pad=1
  45. activation=leaky
  46. [convolutional]
  47. batch_normalize=1
  48. filters=256
  49. size=3
  50. stride=1
  51. pad=1
  52. activation=leaky
  53. [convolutional]
  54. batch_normalize=1
  55. filters=256
  56. size=3
  57. stride=1
  58. pad=1
  59. activation=leaky
  60. [maxpool]
  61. size=2
  62. stride=2
  63. [dropout]
  64. probability=.5
  65. [convolutional]
  66. batch_normalize=1
  67. filters=512
  68. size=3
  69. stride=1
  70. pad=1
  71. activation=leaky
  72. [convolutional]
  73. batch_normalize=1
  74. filters=512
  75. size=3
  76. stride=1
  77. pad=1
  78. activation=leaky
  79. [convolutional]
  80. batch_normalize=1
  81. filters=512
  82. size=3
  83. stride=1
  84. pad=1
  85. activation=leaky
  86. [dropout]
  87. probability=.5
  88. [convolutional]
  89. filters=10
  90. size=1
  91. stride=1
  92. pad=1
  93. activation=leaky
  94. [avgpool]
  95. [softmax]
  96. groups=1
  97. temperature=3