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  1. Layer (type) Output Shape Param # Connected to
  2. ==================================================================================================
  3. input_1 (InputLayer) (None, 32, 32, 3) 0
  4. __________________________________________________________________________________________________
  5. conv2d_1 (Conv2D) (None, 32, 32, 16) 448 input_1[0][0]
  6. __________________________________________________________________________________________________
  7. batch_normalization_1 (BatchNor (None, 32, 32, 16) 64 conv2d_1[0][0]
  8. __________________________________________________________________________________________________
  9. activation_1 (Activation) (None, 32, 32, 16) 0 batch_normalization_1[0][0]
  10. __________________________________________________________________________________________________
  11. conv2d_2 (Conv2D) (None, 32, 32, 16) 2320 activation_1[0][0]
  12. __________________________________________________________________________________________________
  13. batch_normalization_2 (BatchNor (None, 32, 32, 16) 64 conv2d_2[0][0]
  14. __________________________________________________________________________________________________
  15. activation_2 (Activation) (None, 32, 32, 16) 0 batch_normalization_2[0][0]
  16. __________________________________________________________________________________________________
  17. conv2d_3 (Conv2D) (None, 32, 32, 16) 2320 activation_2[0][0]
  18. __________________________________________________________________________________________________
  19. batch_normalization_3 (BatchNor (None, 32, 32, 16) 64 conv2d_3[0][0]
  20. __________________________________________________________________________________________________
  21. add_1 (Add) (None, 32, 32, 16) 0 activation_1[0][0]
  22. batch_normalization_3[0][0]
  23. __________________________________________________________________________________________________
  24. activation_3 (Activation) (None, 32, 32, 16) 0 add_1[0][0]
  25. __________________________________________________________________________________________________
  26. conv2d_4 (Conv2D) (None, 32, 32, 16) 2320 activation_3[0][0]
  27. __________________________________________________________________________________________________
  28. batch_normalization_4 (BatchNor (None, 32, 32, 16) 64 conv2d_4[0][0]
  29. __________________________________________________________________________________________________
  30. activation_4 (Activation) (None, 32, 32, 16) 0 batch_normalization_4[0][0]
  31. __________________________________________________________________________________________________
  32. conv2d_5 (Conv2D) (None, 32, 32, 16) 2320 activation_4[0][0]
  33. __________________________________________________________________________________________________
  34. batch_normalization_5 (BatchNor (None, 32, 32, 16) 64 conv2d_5[0][0]
  35. __________________________________________________________________________________________________
  36. add_2 (Add) (None, 32, 32, 16) 0 activation_3[0][0]
  37. batch_normalization_5[0][0]
  38. __________________________________________________________________________________________________
  39. activation_5 (Activation) (None, 32, 32, 16) 0 add_2[0][0]
  40. __________________________________________________________________________________________________
  41. conv2d_6 (Conv2D) (None, 32, 32, 16) 2320 activation_5[0][0]
  42. __________________________________________________________________________________________________
  43. batch_normalization_6 (BatchNor (None, 32, 32, 16) 64 conv2d_6[0][0]
  44. __________________________________________________________________________________________________
  45. activation_6 (Activation) (None, 32, 32, 16) 0 batch_normalization_6[0][0]
  46. __________________________________________________________________________________________________
  47. conv2d_7 (Conv2D) (None, 32, 32, 16) 2320 activation_6[0][0]
  48. __________________________________________________________________________________________________
  49. batch_normalization_7 (BatchNor (None, 32, 32, 16) 64 conv2d_7[0][0]
  50. __________________________________________________________________________________________________
  51. add_3 (Add) (None, 32, 32, 16) 0 activation_5[0][0]
  52. batch_normalization_7[0][0]
  53. __________________________________________________________________________________________________
  54. activation_7 (Activation) (None, 32, 32, 16) 0 add_3[0][0]
  55. __________________________________________________________________________________________________
  56. conv2d_8 (Conv2D) (None, 16, 16, 32) 4640 activation_7[0][0]
  57. __________________________________________________________________________________________________
  58. batch_normalization_8 (BatchNor (None, 16, 16, 32) 128 conv2d_8[0][0]
  59. __________________________________________________________________________________________________
  60. activation_8 (Activation) (None, 16, 16, 32) 0 batch_normalization_8[0][0]
  61. __________________________________________________________________________________________________
  62. conv2d_9 (Conv2D) (None, 16, 16, 32) 9248 activation_8[0][0]
  63. __________________________________________________________________________________________________
  64. conv2d_10 (Conv2D) (None, 16, 16, 32) 544 activation_7[0][0]
  65. __________________________________________________________________________________________________
  66. batch_normalization_9 (BatchNor (None, 16, 16, 32) 128 conv2d_9[0][0]
  67. __________________________________________________________________________________________________
  68. add_4 (Add) (None, 16, 16, 32) 0 conv2d_10[0][0]
  69. batch_normalization_9[0][0]
  70. __________________________________________________________________________________________________
  71. activation_9 (Activation) (None, 16, 16, 32) 0 add_4[0][0]
  72. __________________________________________________________________________________________________
  73. conv2d_11 (Conv2D) (None, 16, 16, 32) 9248 activation_9[0][0]
  74. __________________________________________________________________________________________________
  75. batch_normalization_10 (BatchNo (None, 16, 16, 32) 128 conv2d_11[0][0]
  76. __________________________________________________________________________________________________
  77. activation_10 (Activation) (None, 16, 16, 32) 0 batch_normalization_10[0][0]
  78. __________________________________________________________________________________________________
  79. conv2d_12 (Conv2D) (None, 16, 16, 32) 9248 activation_10[0][0]
  80. __________________________________________________________________________________________________
  81. batch_normalization_11 (BatchNo (None, 16, 16, 32) 128 conv2d_12[0][0]
  82. __________________________________________________________________________________________________
  83. add_5 (Add) (None, 16, 16, 32) 0 activation_9[0][0]
  84. batch_normalization_11[0][0]
  85. __________________________________________________________________________________________________
  86. activation_11 (Activation) (None, 16, 16, 32) 0 add_5[0][0]
  87. __________________________________________________________________________________________________
  88. conv2d_13 (Conv2D) (None, 16, 16, 32) 9248 activation_11[0][0]
  89. __________________________________________________________________________________________________
  90. batch_normalization_12 (BatchNo (None, 16, 16, 32) 128 conv2d_13[0][0]
  91. __________________________________________________________________________________________________
  92. activation_12 (Activation) (None, 16, 16, 32) 0 batch_normalization_12[0][0]
  93. __________________________________________________________________________________________________
  94. conv2d_14 (Conv2D) (None, 16, 16, 32) 9248 activation_12[0][0]
  95. __________________________________________________________________________________________________
  96. batch_normalization_13 (BatchNo (None, 16, 16, 32) 128 conv2d_14[0][0]
  97. __________________________________________________________________________________________________
  98. add_6 (Add) (None, 16, 16, 32) 0 activation_11[0][0]
  99. batch_normalization_13[0][0]
  100. __________________________________________________________________________________________________
  101. activation_13 (Activation) (None, 16, 16, 32) 0 add_6[0][0]
  102. __________________________________________________________________________________________________
  103. conv2d_15 (Conv2D) (None, 8, 8, 64) 18496 activation_13[0][0]
  104. __________________________________________________________________________________________________
  105. batch_normalization_14 (BatchNo (None, 8, 8, 64) 256 conv2d_15[0][0]
  106. __________________________________________________________________________________________________
  107. activation_14 (Activation) (None, 8, 8, 64) 0 batch_normalization_14[0][0]
  108. __________________________________________________________________________________________________
  109. conv2d_16 (Conv2D) (None, 8, 8, 64) 36928 activation_14[0][0]
  110. __________________________________________________________________________________________________
  111. conv2d_17 (Conv2D) (None, 8, 8, 64) 2112 activation_13[0][0]
  112. __________________________________________________________________________________________________
  113. batch_normalization_15 (BatchNo (None, 8, 8, 64) 256 conv2d_16[0][0]
  114. __________________________________________________________________________________________________
  115. add_7 (Add) (None, 8, 8, 64) 0 conv2d_17[0][0]
  116. batch_normalization_15[0][0]
  117. __________________________________________________________________________________________________
  118. activation_15 (Activation) (None, 8, 8, 64) 0 add_7[0][0]
  119. __________________________________________________________________________________________________
  120. conv2d_18 (Conv2D) (None, 8, 8, 64) 36928 activation_15[0][0]
  121. __________________________________________________________________________________________________
  122. batch_normalization_16 (BatchNo (None, 8, 8, 64) 256 conv2d_18[0][0]
  123. __________________________________________________________________________________________________
  124. activation_16 (Activation) (None, 8, 8, 64) 0 batch_normalization_16[0][0]
  125. __________________________________________________________________________________________________
  126. conv2d_19 (Conv2D) (None, 8, 8, 64) 36928 activation_16[0][0]
  127. __________________________________________________________________________________________________
  128. batch_normalization_17 (BatchNo (None, 8, 8, 64) 256 conv2d_19[0][0]
  129. __________________________________________________________________________________________________
  130. add_8 (Add) (None, 8, 8, 64) 0 activation_15[0][0]
  131. batch_normalization_17[0][0]
  132. __________________________________________________________________________________________________
  133. activation_17 (Activation) (None, 8, 8, 64) 0 add_8[0][0]
  134. __________________________________________________________________________________________________
  135. conv2d_20 (Conv2D) (None, 8, 8, 64) 36928 activation_17[0][0]
  136. __________________________________________________________________________________________________
  137. batch_normalization_18 (BatchNo (None, 8, 8, 64) 256 conv2d_20[0][0]
  138. __________________________________________________________________________________________________
  139. activation_18 (Activation) (None, 8, 8, 64) 0 batch_normalization_18[0][0]
  140. __________________________________________________________________________________________________
  141. conv2d_21 (Conv2D) (None, 8, 8, 64) 36928 activation_18[0][0]
  142. __________________________________________________________________________________________________
  143. batch_normalization_19 (BatchNo (None, 8, 8, 64) 256 conv2d_21[0][0]
  144. __________________________________________________________________________________________________
  145. add_9 (Add) (None, 8, 8, 64) 0 activation_17[0][0]
  146. batch_normalization_19[0][0]
  147. __________________________________________________________________________________________________
  148. activation_19 (Activation) (None, 8, 8, 64) 0 add_9[0][0]
  149. __________________________________________________________________________________________________
  150. average_pooling2d_1 (AveragePoo (None, 1, 1, 64) 0 activation_19[0][0]
  151. __________________________________________________________________________________________________
  152. flatten_1 (Flatten) (None, 64) 0 average_pooling2d_1[0][0]
  153. __________________________________________________________________________________________________
  154. dense_1 (Dense) (None, 10) 650 flatten_1[0][0]
  155. ==================================================================================================
  156. Total params: 274,442
  157. Trainable params: 273,066
  158. Non-trainable params: 1,376
  159. __________________________________________________________________________________________________
  160. Evaluating model : model.h5
  161. Test loss: 0.41706152198314667
  162. Test accuracy: 0.9193
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