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  1. __________________________________________________________________________________________________
  2. Layer (type) Output Shape Param # Connected to
  3. ==================================================================================================
  4. input_1 (InputLayer) (None, 32, 32, 3) 0
  5. __________________________________________________________________________________________________
  6. conv2d_1 (Conv2D) (None, 32, 32, 16) 448 input_1[0][0]
  7. __________________________________________________________________________________________________
  8. batch_normalization_1 (BatchNor (None, 32, 32, 16) 64 conv2d_1[0][0]
  9. __________________________________________________________________________________________________
  10. activation_1 (Activation) (None, 32, 32, 16) 0 batch_normalization_1[0][0]
  11. __________________________________________________________________________________________________
  12. conv2d_2 (Conv2D) (None, 32, 32, 16) 2320 activation_1[0][0]
  13. __________________________________________________________________________________________________
  14. batch_normalization_2 (BatchNor (None, 32, 32, 16) 64 conv2d_2[0][0]
  15. __________________________________________________________________________________________________
  16. activation_2 (Activation) (None, 32, 32, 16) 0 batch_normalization_2[0][0]
  17. __________________________________________________________________________________________________
  18. conv2d_3 (Conv2D) (None, 32, 32, 16) 2320 activation_2[0][0]
  19. __________________________________________________________________________________________________
  20. batch_normalization_3 (BatchNor (None, 32, 32, 16) 64 conv2d_3[0][0]
  21. __________________________________________________________________________________________________
  22. add_1 (Add) (None, 32, 32, 16) 0 activation_1[0][0]
  23. batch_normalization_3[0][0]
  24. __________________________________________________________________________________________________
  25. activation_3 (Activation) (None, 32, 32, 16) 0 add_1[0][0]
  26. __________________________________________________________________________________________________
  27. conv2d_4 (Conv2D) (None, 32, 32, 16) 2320 activation_3[0][0]
  28. __________________________________________________________________________________________________
  29. batch_normalization_4 (BatchNor (None, 32, 32, 16) 64 conv2d_4[0][0]
  30. __________________________________________________________________________________________________
  31. activation_4 (Activation) (None, 32, 32, 16) 0 batch_normalization_4[0][0]
  32. __________________________________________________________________________________________________
  33. conv2d_5 (Conv2D) (None, 32, 32, 16) 2320 activation_4[0][0]
  34. __________________________________________________________________________________________________
  35. batch_normalization_5 (BatchNor (None, 32, 32, 16) 64 conv2d_5[0][0]
  36. __________________________________________________________________________________________________
  37. add_2 (Add) (None, 32, 32, 16) 0 activation_3[0][0]
  38. batch_normalization_5[0][0]
  39. __________________________________________________________________________________________________
  40. activation_5 (Activation) (None, 32, 32, 16) 0 add_2[0][0]
  41. __________________________________________________________________________________________________
  42. conv2d_6 (Conv2D) (None, 32, 32, 16) 2320 activation_5[0][0]
  43. __________________________________________________________________________________________________
  44. batch_normalization_6 (BatchNor (None, 32, 32, 16) 64 conv2d_6[0][0]
  45. __________________________________________________________________________________________________
  46. activation_6 (Activation) (None, 32, 32, 16) 0 batch_normalization_6[0][0]
  47. __________________________________________________________________________________________________
  48. conv2d_7 (Conv2D) (None, 32, 32, 16) 2320 activation_6[0][0]
  49. __________________________________________________________________________________________________
  50. batch_normalization_7 (BatchNor (None, 32, 32, 16) 64 conv2d_7[0][0]
  51. __________________________________________________________________________________________________
  52. add_3 (Add) (None, 32, 32, 16) 0 activation_5[0][0]
  53. batch_normalization_7[0][0]
  54. __________________________________________________________________________________________________
  55. activation_7 (Activation) (None, 32, 32, 16) 0 add_3[0][0]
  56. __________________________________________________________________________________________________
  57. conv2d_8 (Conv2D) (None, 16, 16, 32) 4640 activation_7[0][0]
  58. __________________________________________________________________________________________________
  59. batch_normalization_8 (BatchNor (None, 16, 16, 32) 128 conv2d_8[0][0]
  60. __________________________________________________________________________________________________
  61. activation_8 (Activation) (None, 16, 16, 32) 0 batch_normalization_8[0][0]
  62. __________________________________________________________________________________________________
  63. conv2d_9 (Conv2D) (None, 16, 16, 32) 9248 activation_8[0][0]
  64. __________________________________________________________________________________________________
  65. conv2d_10 (Conv2D) (None, 16, 16, 32) 544 activation_7[0][0]
  66. __________________________________________________________________________________________________
  67. batch_normalization_9 (BatchNor (None, 16, 16, 32) 128 conv2d_9[0][0]
  68. __________________________________________________________________________________________________
  69. add_4 (Add) (None, 16, 16, 32) 0 conv2d_10[0][0]
  70. batch_normalization_9[0][0]
  71. __________________________________________________________________________________________________
  72. activation_9 (Activation) (None, 16, 16, 32) 0 add_4[0][0]
  73. __________________________________________________________________________________________________
  74. conv2d_11 (Conv2D) (None, 16, 16, 32) 9248 activation_9[0][0]
  75. __________________________________________________________________________________________________
  76. batch_normalization_10 (BatchNo (None, 16, 16, 32) 128 conv2d_11[0][0]
  77. __________________________________________________________________________________________________
  78. activation_10 (Activation) (None, 16, 16, 32) 0 batch_normalization_10[0][0]
  79. __________________________________________________________________________________________________
  80. conv2d_12 (Conv2D) (None, 16, 16, 32) 9248 activation_10[0][0]
  81. __________________________________________________________________________________________________
  82. batch_normalization_11 (BatchNo (None, 16, 16, 32) 128 conv2d_12[0][0]
  83. __________________________________________________________________________________________________
  84. add_5 (Add) (None, 16, 16, 32) 0 activation_9[0][0]
  85. batch_normalization_11[0][0]
  86. __________________________________________________________________________________________________
  87. activation_11 (Activation) (None, 16, 16, 32) 0 add_5[0][0]
  88. __________________________________________________________________________________________________
  89. conv2d_13 (Conv2D) (None, 16, 16, 32) 9248 activation_11[0][0]
  90. __________________________________________________________________________________________________
  91. batch_normalization_12 (BatchNo (None, 16, 16, 32) 128 conv2d_13[0][0]
  92. __________________________________________________________________________________________________
  93. activation_12 (Activation) (None, 16, 16, 32) 0 batch_normalization_12[0][0]
  94. __________________________________________________________________________________________________
  95. conv2d_14 (Conv2D) (None, 16, 16, 32) 9248 activation_12[0][0]
  96. __________________________________________________________________________________________________
  97. batch_normalization_13 (BatchNo (None, 16, 16, 32) 128 conv2d_14[0][0]
  98. __________________________________________________________________________________________________
  99. add_6 (Add) (None, 16, 16, 32) 0 activation_11[0][0]
  100. batch_normalization_13[0][0]
  101. __________________________________________________________________________________________________
  102. activation_13 (Activation) (None, 16, 16, 32) 0 add_6[0][0]
  103. __________________________________________________________________________________________________
  104. conv2d_15 (Conv2D) (None, 8, 8, 64) 18496 activation_13[0][0]
  105. __________________________________________________________________________________________________
  106. batch_normalization_14 (BatchNo (None, 8, 8, 64) 256 conv2d_15[0][0]
  107. __________________________________________________________________________________________________
  108. activation_14 (Activation) (None, 8, 8, 64) 0 batch_normalization_14[0][0]
  109. __________________________________________________________________________________________________
  110. conv2d_16 (Conv2D) (None, 8, 8, 64) 36928 activation_14[0][0]
  111. __________________________________________________________________________________________________
  112. conv2d_17 (Conv2D) (None, 8, 8, 64) 2112 activation_13[0][0]
  113. __________________________________________________________________________________________________
  114. batch_normalization_15 (BatchNo (None, 8, 8, 64) 256 conv2d_16[0][0]
  115. __________________________________________________________________________________________________
  116. add_7 (Add) (None, 8, 8, 64) 0 conv2d_17[0][0]
  117. batch_normalization_15[0][0]
  118. __________________________________________________________________________________________________
  119. activation_15 (Activation) (None, 8, 8, 64) 0 add_7[0][0]
  120. __________________________________________________________________________________________________
  121. conv2d_18 (Conv2D) (None, 8, 8, 64) 36928 activation_15[0][0]
  122. __________________________________________________________________________________________________
  123. batch_normalization_16 (BatchNo (None, 8, 8, 64) 256 conv2d_18[0][0]
  124. __________________________________________________________________________________________________
  125. activation_16 (Activation) (None, 8, 8, 64) 0 batch_normalization_16[0][0]
  126. __________________________________________________________________________________________________
  127. conv2d_19 (Conv2D) (None, 8, 8, 64) 36928 activation_16[0][0]
  128. __________________________________________________________________________________________________
  129. batch_normalization_17 (BatchNo (None, 8, 8, 64) 256 conv2d_19[0][0]
  130. __________________________________________________________________________________________________
  131. add_8 (Add) (None, 8, 8, 64) 0 activation_15[0][0]
  132. batch_normalization_17[0][0]
  133. __________________________________________________________________________________________________
  134. activation_17 (Activation) (None, 8, 8, 64) 0 add_8[0][0]
  135. __________________________________________________________________________________________________
  136. conv2d_20 (Conv2D) (None, 8, 8, 64) 36928 activation_17[0][0]
  137. __________________________________________________________________________________________________
  138. batch_normalization_18 (BatchNo (None, 8, 8, 64) 256 conv2d_20[0][0]
  139. __________________________________________________________________________________________________
  140. activation_18 (Activation) (None, 8, 8, 64) 0 batch_normalization_18[0][0]
  141. __________________________________________________________________________________________________
  142. conv2d_21 (Conv2D) (None, 8, 8, 64) 36928 activation_18[0][0]
  143. __________________________________________________________________________________________________
  144. batch_normalization_19 (BatchNo (None, 8, 8, 64) 256 conv2d_21[0][0]
  145. __________________________________________________________________________________________________
  146. add_9 (Add) (None, 8, 8, 64) 0 activation_17[0][0]
  147. batch_normalization_19[0][0]
  148. __________________________________________________________________________________________________
  149. activation_19 (Activation) (None, 8, 8, 64) 0 add_9[0][0]
  150. __________________________________________________________________________________________________
  151. average_pooling2d_1 (AveragePoo (None, 1, 1, 64) 0 activation_19[0][0]
  152. __________________________________________________________________________________________________
  153. flatten_1 (Flatten) (None, 64) 0 average_pooling2d_1[0][0]
  154. __________________________________________________________________________________________________
  155. dense_1 (Dense) (None, 10) 650 flatten_1[0][0]
  156. ==================================================================================================
  157. Total params: 274,442
  158. Trainable params: 273,066
  159. Non-trainable params: 1,376
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