go.cfg 1.3 KB

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  1. [net]
  2. batch=512
  3. subdivisions=1
  4. height=19
  5. width=19
  6. channels=1
  7. momentum=0.9
  8. decay=0.0005
  9. burn_in=1000
  10. learning_rate=0.1
  11. policy=poly
  12. power=4
  13. max_batches=10000000
  14. [convolutional]
  15. filters=256
  16. size=3
  17. stride=1
  18. pad=1
  19. activation=relu
  20. batch_normalize=1
  21. [convolutional]
  22. filters=256
  23. size=3
  24. stride=1
  25. pad=1
  26. activation=relu
  27. batch_normalize=1
  28. [convolutional]
  29. filters=256
  30. size=3
  31. stride=1
  32. pad=1
  33. activation=relu
  34. batch_normalize=1
  35. [convolutional]
  36. filters=256
  37. size=3
  38. stride=1
  39. pad=1
  40. activation=relu
  41. batch_normalize=1
  42. [convolutional]
  43. filters=256
  44. size=3
  45. stride=1
  46. pad=1
  47. activation=relu
  48. batch_normalize=1
  49. [convolutional]
  50. filters=256
  51. size=3
  52. stride=1
  53. pad=1
  54. activation=relu
  55. batch_normalize=1
  56. [convolutional]
  57. filters=256
  58. size=3
  59. stride=1
  60. pad=1
  61. activation=relu
  62. batch_normalize=1
  63. [convolutional]
  64. filters=256
  65. size=3
  66. stride=1
  67. pad=1
  68. activation=relu
  69. batch_normalize=1
  70. [convolutional]
  71. filters=256
  72. size=3
  73. stride=1
  74. pad=1
  75. activation=relu
  76. batch_normalize=1
  77. [convolutional]
  78. filters=256
  79. size=3
  80. stride=1
  81. pad=1
  82. activation=relu
  83. batch_normalize=1
  84. [convolutional]
  85. filters=256
  86. size=3
  87. stride=1
  88. pad=1
  89. activation=relu
  90. batch_normalize=1
  91. [convolutional]
  92. filters=256
  93. size=3
  94. stride=1
  95. pad=1
  96. activation=relu
  97. batch_normalize=1
  98. [convolutional]
  99. filters=256
  100. size=3
  101. stride=1
  102. pad=1
  103. activation=relu
  104. batch_normalize=1
  105. [convolutional]
  106. filters=1
  107. size=1
  108. stride=1
  109. pad=1
  110. activation=linear
  111. [reorg]
  112. extra=1
  113. stride=1
  114. [softmax]