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  1. Model: "model_1"
  2. __________________________________________________________________________________________________
  3. Layer (type) Output Shape Param # Connected to
  4. ==================================================================================================
  5. input_1 (InputLayer) [(None, 224, 224, 3) 0
  6. __________________________________________________________________________________________________
  7. conv1_pad (ZeroPadding2D) (None, 230, 230, 3) 0 input_1[0][0]
  8. __________________________________________________________________________________________________
  9. conv1_conv (Conv2D) (None, 112, 112, 64) 9472 conv1_pad[0][0]
  10. __________________________________________________________________________________________________
  11. conv1_bn (BatchNormalization) (None, 112, 112, 64) 256 conv1_conv[0][0]
  12. __________________________________________________________________________________________________
  13. conv1_relu (Activation) (None, 112, 112, 64) 0 conv1_bn[0][0]
  14. __________________________________________________________________________________________________
  15. pool1_pad (ZeroPadding2D) (None, 114, 114, 64) 0 conv1_relu[0][0]
  16. __________________________________________________________________________________________________
  17. pool1_pool (MaxPooling2D) (None, 56, 56, 64) 0 pool1_pad[0][0]
  18. __________________________________________________________________________________________________
  19. conv2_block1_1_conv (Conv2D) (None, 56, 56, 64) 4160 pool1_pool[0][0]
  20. __________________________________________________________________________________________________
  21. conv2_block1_1_bn (BatchNormali (None, 56, 56, 64) 256 conv2_block1_1_conv[0][0]
  22. __________________________________________________________________________________________________
  23. conv2_block1_1_relu (Activation (None, 56, 56, 64) 0 conv2_block1_1_bn[0][0]
  24. __________________________________________________________________________________________________
  25. conv2_block1_2_conv (Conv2D) (None, 56, 56, 64) 36928 conv2_block1_1_relu[0][0]
  26. __________________________________________________________________________________________________
  27. conv2_block1_2_bn (BatchNormali (None, 56, 56, 64) 256 conv2_block1_2_conv[0][0]
  28. __________________________________________________________________________________________________
  29. conv2_block1_2_relu (Activation (None, 56, 56, 64) 0 conv2_block1_2_bn[0][0]
  30. __________________________________________________________________________________________________
  31. conv2_block1_0_conv (Conv2D) (None, 56, 56, 256) 16640 pool1_pool[0][0]
  32. __________________________________________________________________________________________________
  33. conv2_block1_3_conv (Conv2D) (None, 56, 56, 256) 16640 conv2_block1_2_relu[0][0]
  34. __________________________________________________________________________________________________
  35. conv2_block1_0_bn (BatchNormali (None, 56, 56, 256) 1024 conv2_block1_0_conv[0][0]
  36. __________________________________________________________________________________________________
  37. conv2_block1_3_bn (BatchNormali (None, 56, 56, 256) 1024 conv2_block1_3_conv[0][0]
  38. __________________________________________________________________________________________________
  39. conv2_block1_add (Add) (None, 56, 56, 256) 0 conv2_block1_0_bn[0][0]
  40. conv2_block1_3_bn[0][0]
  41. __________________________________________________________________________________________________
  42. conv2_block1_out (Activation) (None, 56, 56, 256) 0 conv2_block1_add[0][0]
  43. __________________________________________________________________________________________________
  44. conv2_block2_1_conv (Conv2D) (None, 56, 56, 64) 16448 conv2_block1_out[0][0]
  45. __________________________________________________________________________________________________
  46. conv2_block2_1_bn (BatchNormali (None, 56, 56, 64) 256 conv2_block2_1_conv[0][0]
  47. __________________________________________________________________________________________________
  48. conv2_block2_1_relu (Activation (None, 56, 56, 64) 0 conv2_block2_1_bn[0][0]
  49. __________________________________________________________________________________________________
  50. conv2_block2_2_conv (Conv2D) (None, 56, 56, 64) 36928 conv2_block2_1_relu[0][0]
  51. __________________________________________________________________________________________________
  52. conv2_block2_2_bn (BatchNormali (None, 56, 56, 64) 256 conv2_block2_2_conv[0][0]
  53. __________________________________________________________________________________________________
  54. conv2_block2_2_relu (Activation (None, 56, 56, 64) 0 conv2_block2_2_bn[0][0]
  55. __________________________________________________________________________________________________
  56. conv2_block2_3_conv (Conv2D) (None, 56, 56, 256) 16640 conv2_block2_2_relu[0][0]
  57. __________________________________________________________________________________________________
  58. conv2_block2_3_bn (BatchNormali (None, 56, 56, 256) 1024 conv2_block2_3_conv[0][0]
  59. __________________________________________________________________________________________________
  60. conv2_block2_add (Add) (None, 56, 56, 256) 0 conv2_block1_out[0][0]
  61. conv2_block2_3_bn[0][0]
  62. __________________________________________________________________________________________________
  63. conv2_block2_out (Activation) (None, 56, 56, 256) 0 conv2_block2_add[0][0]
  64. __________________________________________________________________________________________________
  65. conv2_block3_1_conv (Conv2D) (None, 56, 56, 64) 16448 conv2_block2_out[0][0]
  66. __________________________________________________________________________________________________
  67. conv2_block3_1_bn (BatchNormali (None, 56, 56, 64) 256 conv2_block3_1_conv[0][0]
  68. __________________________________________________________________________________________________
  69. conv2_block3_1_relu (Activation (None, 56, 56, 64) 0 conv2_block3_1_bn[0][0]
  70. __________________________________________________________________________________________________
  71. conv2_block3_2_conv (Conv2D) (None, 56, 56, 64) 36928 conv2_block3_1_relu[0][0]
  72. __________________________________________________________________________________________________
  73. conv2_block3_2_bn (BatchNormali (None, 56, 56, 64) 256 conv2_block3_2_conv[0][0]
  74. __________________________________________________________________________________________________
  75. conv2_block3_2_relu (Activation (None, 56, 56, 64) 0 conv2_block3_2_bn[0][0]
  76. __________________________________________________________________________________________________
  77. conv2_block3_3_conv (Conv2D) (None, 56, 56, 256) 16640 conv2_block3_2_relu[0][0]
  78. __________________________________________________________________________________________________
  79. conv2_block3_3_bn (BatchNormali (None, 56, 56, 256) 1024 conv2_block3_3_conv[0][0]
  80. __________________________________________________________________________________________________
  81. conv2_block3_add (Add) (None, 56, 56, 256) 0 conv2_block2_out[0][0]
  82. conv2_block3_3_bn[0][0]
  83. __________________________________________________________________________________________________
  84. conv2_block3_out (Activation) (None, 56, 56, 256) 0 conv2_block3_add[0][0]
  85. __________________________________________________________________________________________________
  86. conv3_block1_1_conv (Conv2D) (None, 28, 28, 128) 32896 conv2_block3_out[0][0]
  87. __________________________________________________________________________________________________
  88. conv3_block1_1_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block1_1_conv[0][0]
  89. __________________________________________________________________________________________________
  90. conv3_block1_1_relu (Activation (None, 28, 28, 128) 0 conv3_block1_1_bn[0][0]
  91. __________________________________________________________________________________________________
  92. conv3_block1_2_conv (Conv2D) (None, 28, 28, 128) 147584 conv3_block1_1_relu[0][0]
  93. __________________________________________________________________________________________________
  94. conv3_block1_2_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block1_2_conv[0][0]
  95. __________________________________________________________________________________________________
  96. conv3_block1_2_relu (Activation (None, 28, 28, 128) 0 conv3_block1_2_bn[0][0]
  97. __________________________________________________________________________________________________
  98. conv3_block1_0_conv (Conv2D) (None, 28, 28, 512) 131584 conv2_block3_out[0][0]
  99. __________________________________________________________________________________________________
  100. conv3_block1_3_conv (Conv2D) (None, 28, 28, 512) 66048 conv3_block1_2_relu[0][0]
  101. __________________________________________________________________________________________________
  102. conv3_block1_0_bn (BatchNormali (None, 28, 28, 512) 2048 conv3_block1_0_conv[0][0]
  103. __________________________________________________________________________________________________
  104. conv3_block1_3_bn (BatchNormali (None, 28, 28, 512) 2048 conv3_block1_3_conv[0][0]
  105. __________________________________________________________________________________________________
  106. conv3_block1_add (Add) (None, 28, 28, 512) 0 conv3_block1_0_bn[0][0]
  107. conv3_block1_3_bn[0][0]
  108. __________________________________________________________________________________________________
  109. conv3_block1_out (Activation) (None, 28, 28, 512) 0 conv3_block1_add[0][0]
  110. __________________________________________________________________________________________________
  111. conv3_block2_1_conv (Conv2D) (None, 28, 28, 128) 65664 conv3_block1_out[0][0]
  112. __________________________________________________________________________________________________
  113. conv3_block2_1_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block2_1_conv[0][0]
  114. __________________________________________________________________________________________________
  115. conv3_block2_1_relu (Activation (None, 28, 28, 128) 0 conv3_block2_1_bn[0][0]
  116. __________________________________________________________________________________________________
  117. conv3_block2_2_conv (Conv2D) (None, 28, 28, 128) 147584 conv3_block2_1_relu[0][0]
  118. __________________________________________________________________________________________________
  119. conv3_block2_2_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block2_2_conv[0][0]
  120. __________________________________________________________________________________________________
  121. conv3_block2_2_relu (Activation (None, 28, 28, 128) 0 conv3_block2_2_bn[0][0]
  122. __________________________________________________________________________________________________
  123. conv3_block2_3_conv (Conv2D) (None, 28, 28, 512) 66048 conv3_block2_2_relu[0][0]
  124. __________________________________________________________________________________________________
  125. conv3_block2_3_bn (BatchNormali (None, 28, 28, 512) 2048 conv3_block2_3_conv[0][0]
  126. __________________________________________________________________________________________________
  127. conv3_block2_add (Add) (None, 28, 28, 512) 0 conv3_block1_out[0][0]
  128. conv3_block2_3_bn[0][0]
  129. __________________________________________________________________________________________________
  130. conv3_block2_out (Activation) (None, 28, 28, 512) 0 conv3_block2_add[0][0]
  131. __________________________________________________________________________________________________
  132. conv3_block3_1_conv (Conv2D) (None, 28, 28, 128) 65664 conv3_block2_out[0][0]
  133. __________________________________________________________________________________________________
  134. conv3_block3_1_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block3_1_conv[0][0]
  135. __________________________________________________________________________________________________
  136. conv3_block3_1_relu (Activation (None, 28, 28, 128) 0 conv3_block3_1_bn[0][0]
  137. __________________________________________________________________________________________________
  138. conv3_block3_2_conv (Conv2D) (None, 28, 28, 128) 147584 conv3_block3_1_relu[0][0]
  139. __________________________________________________________________________________________________
  140. conv3_block3_2_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block3_2_conv[0][0]
  141. __________________________________________________________________________________________________
  142. conv3_block3_2_relu (Activation (None, 28, 28, 128) 0 conv3_block3_2_bn[0][0]
  143. __________________________________________________________________________________________________
  144. conv3_block3_3_conv (Conv2D) (None, 28, 28, 512) 66048 conv3_block3_2_relu[0][0]
  145. __________________________________________________________________________________________________
  146. conv3_block3_3_bn (BatchNormali (None, 28, 28, 512) 2048 conv3_block3_3_conv[0][0]
  147. __________________________________________________________________________________________________
  148. conv3_block3_add (Add) (None, 28, 28, 512) 0 conv3_block2_out[0][0]
  149. conv3_block3_3_bn[0][0]
  150. __________________________________________________________________________________________________
  151. conv3_block3_out (Activation) (None, 28, 28, 512) 0 conv3_block3_add[0][0]
  152. __________________________________________________________________________________________________
  153. conv3_block4_1_conv (Conv2D) (None, 28, 28, 128) 65664 conv3_block3_out[0][0]
  154. __________________________________________________________________________________________________
  155. conv3_block4_1_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block4_1_conv[0][0]
  156. __________________________________________________________________________________________________
  157. conv3_block4_1_relu (Activation (None, 28, 28, 128) 0 conv3_block4_1_bn[0][0]
  158. __________________________________________________________________________________________________
  159. conv3_block4_2_conv (Conv2D) (None, 28, 28, 128) 147584 conv3_block4_1_relu[0][0]
  160. __________________________________________________________________________________________________
  161. conv3_block4_2_bn (BatchNormali (None, 28, 28, 128) 512 conv3_block4_2_conv[0][0]
  162. __________________________________________________________________________________________________
  163. conv3_block4_2_relu (Activation (None, 28, 28, 128) 0 conv3_block4_2_bn[0][0]
  164. __________________________________________________________________________________________________
  165. conv3_block4_3_conv (Conv2D) (None, 28, 28, 512) 66048 conv3_block4_2_relu[0][0]
  166. __________________________________________________________________________________________________
  167. conv3_block4_3_bn (BatchNormali (None, 28, 28, 512) 2048 conv3_block4_3_conv[0][0]
  168. __________________________________________________________________________________________________
  169. conv3_block4_add (Add) (None, 28, 28, 512) 0 conv3_block3_out[0][0]
  170. conv3_block4_3_bn[0][0]
  171. __________________________________________________________________________________________________
  172. conv3_block4_out (Activation) (None, 28, 28, 512) 0 conv3_block4_add[0][0]
  173. __________________________________________________________________________________________________
  174. conv4_block1_1_conv (Conv2D) (None, 14, 14, 256) 131328 conv3_block4_out[0][0]
  175. __________________________________________________________________________________________________
  176. conv4_block1_1_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block1_1_conv[0][0]
  177. __________________________________________________________________________________________________
  178. conv4_block1_1_relu (Activation (None, 14, 14, 256) 0 conv4_block1_1_bn[0][0]
  179. __________________________________________________________________________________________________
  180. conv4_block1_2_conv (Conv2D) (None, 14, 14, 256) 590080 conv4_block1_1_relu[0][0]
  181. __________________________________________________________________________________________________
  182. conv4_block1_2_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block1_2_conv[0][0]
  183. __________________________________________________________________________________________________
  184. conv4_block1_2_relu (Activation (None, 14, 14, 256) 0 conv4_block1_2_bn[0][0]
  185. __________________________________________________________________________________________________
  186. conv4_block1_0_conv (Conv2D) (None, 14, 14, 1024) 525312 conv3_block4_out[0][0]
  187. __________________________________________________________________________________________________
  188. conv4_block1_3_conv (Conv2D) (None, 14, 14, 1024) 263168 conv4_block1_2_relu[0][0]
  189. __________________________________________________________________________________________________
  190. conv4_block1_0_bn (BatchNormali (None, 14, 14, 1024) 4096 conv4_block1_0_conv[0][0]
  191. __________________________________________________________________________________________________
  192. conv4_block1_3_bn (BatchNormali (None, 14, 14, 1024) 4096 conv4_block1_3_conv[0][0]
  193. __________________________________________________________________________________________________
  194. conv4_block1_add (Add) (None, 14, 14, 1024) 0 conv4_block1_0_bn[0][0]
  195. conv4_block1_3_bn[0][0]
  196. __________________________________________________________________________________________________
  197. conv4_block1_out (Activation) (None, 14, 14, 1024) 0 conv4_block1_add[0][0]
  198. __________________________________________________________________________________________________
  199. conv4_block2_1_conv (Conv2D) (None, 14, 14, 256) 262400 conv4_block1_out[0][0]
  200. __________________________________________________________________________________________________
  201. conv4_block2_1_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block2_1_conv[0][0]
  202. __________________________________________________________________________________________________
  203. conv4_block2_1_relu (Activation (None, 14, 14, 256) 0 conv4_block2_1_bn[0][0]
  204. __________________________________________________________________________________________________
  205. conv4_block2_2_conv (Conv2D) (None, 14, 14, 256) 590080 conv4_block2_1_relu[0][0]
  206. __________________________________________________________________________________________________
  207. conv4_block2_2_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block2_2_conv[0][0]
  208. __________________________________________________________________________________________________
  209. conv4_block2_2_relu (Activation (None, 14, 14, 256) 0 conv4_block2_2_bn[0][0]
  210. __________________________________________________________________________________________________
  211. conv4_block2_3_conv (Conv2D) (None, 14, 14, 1024) 263168 conv4_block2_2_relu[0][0]
  212. __________________________________________________________________________________________________
  213. conv4_block2_3_bn (BatchNormali (None, 14, 14, 1024) 4096 conv4_block2_3_conv[0][0]
  214. __________________________________________________________________________________________________
  215. conv4_block2_add (Add) (None, 14, 14, 1024) 0 conv4_block1_out[0][0]
  216. conv4_block2_3_bn[0][0]
  217. __________________________________________________________________________________________________
  218. conv4_block2_out (Activation) (None, 14, 14, 1024) 0 conv4_block2_add[0][0]
  219. __________________________________________________________________________________________________
  220. conv4_block3_1_conv (Conv2D) (None, 14, 14, 256) 262400 conv4_block2_out[0][0]
  221. __________________________________________________________________________________________________
  222. conv4_block3_1_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block3_1_conv[0][0]
  223. __________________________________________________________________________________________________
  224. conv4_block3_1_relu (Activation (None, 14, 14, 256) 0 conv4_block3_1_bn[0][0]
  225. __________________________________________________________________________________________________
  226. conv4_block3_2_conv (Conv2D) (None, 14, 14, 256) 590080 conv4_block3_1_relu[0][0]
  227. __________________________________________________________________________________________________
  228. conv4_block3_2_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block3_2_conv[0][0]
  229. __________________________________________________________________________________________________
  230. conv4_block3_2_relu (Activation (None, 14, 14, 256) 0 conv4_block3_2_bn[0][0]
  231. __________________________________________________________________________________________________
  232. conv4_block3_3_conv (Conv2D) (None, 14, 14, 1024) 263168 conv4_block3_2_relu[0][0]
  233. __________________________________________________________________________________________________
  234. conv4_block3_3_bn (BatchNormali (None, 14, 14, 1024) 4096 conv4_block3_3_conv[0][0]
  235. __________________________________________________________________________________________________
  236. conv4_block3_add (Add) (None, 14, 14, 1024) 0 conv4_block2_out[0][0]
  237. conv4_block3_3_bn[0][0]
  238. __________________________________________________________________________________________________
  239. conv4_block3_out (Activation) (None, 14, 14, 1024) 0 conv4_block3_add[0][0]
  240. __________________________________________________________________________________________________
  241. conv4_block4_1_conv (Conv2D) (None, 14, 14, 256) 262400 conv4_block3_out[0][0]
  242. __________________________________________________________________________________________________
  243. conv4_block4_1_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block4_1_conv[0][0]
  244. __________________________________________________________________________________________________
  245. conv4_block4_1_relu (Activation (None, 14, 14, 256) 0 conv4_block4_1_bn[0][0]
  246. __________________________________________________________________________________________________
  247. conv4_block4_2_conv (Conv2D) (None, 14, 14, 256) 590080 conv4_block4_1_relu[0][0]
  248. __________________________________________________________________________________________________
  249. conv4_block4_2_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block4_2_conv[0][0]
  250. __________________________________________________________________________________________________
  251. conv4_block4_2_relu (Activation (None, 14, 14, 256) 0 conv4_block4_2_bn[0][0]
  252. __________________________________________________________________________________________________
  253. conv4_block4_3_conv (Conv2D) (None, 14, 14, 1024) 263168 conv4_block4_2_relu[0][0]
  254. __________________________________________________________________________________________________
  255. conv4_block4_3_bn (BatchNormali (None, 14, 14, 1024) 4096 conv4_block4_3_conv[0][0]
  256. __________________________________________________________________________________________________
  257. conv4_block4_add (Add) (None, 14, 14, 1024) 0 conv4_block3_out[0][0]
  258. conv4_block4_3_bn[0][0]
  259. __________________________________________________________________________________________________
  260. conv4_block4_out (Activation) (None, 14, 14, 1024) 0 conv4_block4_add[0][0]
  261. __________________________________________________________________________________________________
  262. conv4_block5_1_conv (Conv2D) (None, 14, 14, 256) 262400 conv4_block4_out[0][0]
  263. __________________________________________________________________________________________________
  264. conv4_block5_1_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block5_1_conv[0][0]
  265. __________________________________________________________________________________________________
  266. conv4_block5_1_relu (Activation (None, 14, 14, 256) 0 conv4_block5_1_bn[0][0]
  267. __________________________________________________________________________________________________
  268. conv4_block5_2_conv (Conv2D) (None, 14, 14, 256) 590080 conv4_block5_1_relu[0][0]
  269. __________________________________________________________________________________________________
  270. conv4_block5_2_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block5_2_conv[0][0]
  271. __________________________________________________________________________________________________
  272. conv4_block5_2_relu (Activation (None, 14, 14, 256) 0 conv4_block5_2_bn[0][0]
  273. __________________________________________________________________________________________________
  274. conv4_block5_3_conv (Conv2D) (None, 14, 14, 1024) 263168 conv4_block5_2_relu[0][0]
  275. __________________________________________________________________________________________________
  276. conv4_block5_3_bn (BatchNormali (None, 14, 14, 1024) 4096 conv4_block5_3_conv[0][0]
  277. __________________________________________________________________________________________________
  278. conv4_block5_add (Add) (None, 14, 14, 1024) 0 conv4_block4_out[0][0]
  279. conv4_block5_3_bn[0][0]
  280. __________________________________________________________________________________________________
  281. conv4_block5_out (Activation) (None, 14, 14, 1024) 0 conv4_block5_add[0][0]
  282. __________________________________________________________________________________________________
  283. conv4_block6_1_conv (Conv2D) (None, 14, 14, 256) 262400 conv4_block5_out[0][0]
  284. __________________________________________________________________________________________________
  285. conv4_block6_1_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block6_1_conv[0][0]
  286. __________________________________________________________________________________________________
  287. conv4_block6_1_relu (Activation (None, 14, 14, 256) 0 conv4_block6_1_bn[0][0]
  288. __________________________________________________________________________________________________
  289. conv4_block6_2_conv (Conv2D) (None, 14, 14, 256) 590080 conv4_block6_1_relu[0][0]
  290. __________________________________________________________________________________________________
  291. conv4_block6_2_bn (BatchNormali (None, 14, 14, 256) 1024 conv4_block6_2_conv[0][0]
  292. __________________________________________________________________________________________________
  293. conv4_block6_2_relu (Activation (None, 14, 14, 256) 0 conv4_block6_2_bn[0][0]
  294. __________________________________________________________________________________________________
  295. conv4_block6_3_conv (Conv2D) (None, 14, 14, 1024) 263168 conv4_block6_2_relu[0][0]
  296. __________________________________________________________________________________________________
  297. conv4_block6_3_bn (BatchNormali (None, 14, 14, 1024) 4096 conv4_block6_3_conv[0][0]
  298. __________________________________________________________________________________________________
  299. conv4_block6_add (Add) (None, 14, 14, 1024) 0 conv4_block5_out[0][0]
  300. conv4_block6_3_bn[0][0]
  301. __________________________________________________________________________________________________
  302. conv4_block6_out (Activation) (None, 14, 14, 1024) 0 conv4_block6_add[0][0]
  303. __________________________________________________________________________________________________
  304. conv5_block1_1_conv (Conv2D) (None, 7, 7, 512) 524800 conv4_block6_out[0][0]
  305. __________________________________________________________________________________________________
  306. conv5_block1_1_bn (BatchNormali (None, 7, 7, 512) 2048 conv5_block1_1_conv[0][0]
  307. __________________________________________________________________________________________________
  308. conv5_block1_1_relu (Activation (None, 7, 7, 512) 0 conv5_block1_1_bn[0][0]
  309. __________________________________________________________________________________________________
  310. conv5_block1_2_conv (Conv2D) (None, 7, 7, 512) 2359808 conv5_block1_1_relu[0][0]
  311. __________________________________________________________________________________________________
  312. conv5_block1_2_bn (BatchNormali (None, 7, 7, 512) 2048 conv5_block1_2_conv[0][0]
  313. __________________________________________________________________________________________________
  314. conv5_block1_2_relu (Activation (None, 7, 7, 512) 0 conv5_block1_2_bn[0][0]
  315. __________________________________________________________________________________________________
  316. conv5_block1_0_conv (Conv2D) (None, 7, 7, 2048) 2099200 conv4_block6_out[0][0]
  317. __________________________________________________________________________________________________
  318. conv5_block1_3_conv (Conv2D) (None, 7, 7, 2048) 1050624 conv5_block1_2_relu[0][0]
  319. __________________________________________________________________________________________________
  320. conv5_block1_0_bn (BatchNormali (None, 7, 7, 2048) 8192 conv5_block1_0_conv[0][0]
  321. __________________________________________________________________________________________________
  322. conv5_block1_3_bn (BatchNormali (None, 7, 7, 2048) 8192 conv5_block1_3_conv[0][0]
  323. __________________________________________________________________________________________________
  324. conv5_block1_add (Add) (None, 7, 7, 2048) 0 conv5_block1_0_bn[0][0]
  325. conv5_block1_3_bn[0][0]
  326. __________________________________________________________________________________________________
  327. conv5_block1_out (Activation) (None, 7, 7, 2048) 0 conv5_block1_add[0][0]
  328. __________________________________________________________________________________________________
  329. conv5_block2_1_conv (Conv2D) (None, 7, 7, 512) 1049088 conv5_block1_out[0][0]
  330. __________________________________________________________________________________________________
  331. conv5_block2_1_bn (BatchNormali (None, 7, 7, 512) 2048 conv5_block2_1_conv[0][0]
  332. __________________________________________________________________________________________________
  333. conv5_block2_1_relu (Activation (None, 7, 7, 512) 0 conv5_block2_1_bn[0][0]
  334. __________________________________________________________________________________________________
  335. conv5_block2_2_conv (Conv2D) (None, 7, 7, 512) 2359808 conv5_block2_1_relu[0][0]
  336. __________________________________________________________________________________________________
  337. conv5_block2_2_bn (BatchNormali (None, 7, 7, 512) 2048 conv5_block2_2_conv[0][0]
  338. __________________________________________________________________________________________________
  339. conv5_block2_2_relu (Activation (None, 7, 7, 512) 0 conv5_block2_2_bn[0][0]
  340. __________________________________________________________________________________________________
  341. conv5_block2_3_conv (Conv2D) (None, 7, 7, 2048) 1050624 conv5_block2_2_relu[0][0]
  342. __________________________________________________________________________________________________
  343. conv5_block2_3_bn (BatchNormali (None, 7, 7, 2048) 8192 conv5_block2_3_conv[0][0]
  344. __________________________________________________________________________________________________
  345. conv5_block2_add (Add) (None, 7, 7, 2048) 0 conv5_block1_out[0][0]
  346. conv5_block2_3_bn[0][0]
  347. __________________________________________________________________________________________________
  348. conv5_block2_out (Activation) (None, 7, 7, 2048) 0 conv5_block2_add[0][0]
  349. __________________________________________________________________________________________________
  350. conv5_block3_1_conv (Conv2D) (None, 7, 7, 512) 1049088 conv5_block2_out[0][0]
  351. __________________________________________________________________________________________________
  352. conv5_block3_1_bn (BatchNormali (None, 7, 7, 512) 2048 conv5_block3_1_conv[0][0]
  353. __________________________________________________________________________________________________
  354. conv5_block3_1_relu (Activation (None, 7, 7, 512) 0 conv5_block3_1_bn[0][0]
  355. __________________________________________________________________________________________________
  356. conv5_block3_2_conv (Conv2D) (None, 7, 7, 512) 2359808 conv5_block3_1_relu[0][0]
  357. __________________________________________________________________________________________________
  358. conv5_block3_2_bn (BatchNormali (None, 7, 7, 512) 2048 conv5_block3_2_conv[0][0]
  359. __________________________________________________________________________________________________
  360. conv5_block3_2_relu (Activation (None, 7, 7, 512) 0 conv5_block3_2_bn[0][0]
  361. __________________________________________________________________________________________________
  362. conv5_block3_3_conv (Conv2D) (None, 7, 7, 2048) 1050624 conv5_block3_2_relu[0][0]
  363. __________________________________________________________________________________________________
  364. conv5_block3_3_bn (BatchNormali (None, 7, 7, 2048) 8192 conv5_block3_3_conv[0][0]
  365. __________________________________________________________________________________________________
  366. conv5_block3_add (Add) (None, 7, 7, 2048) 0 conv5_block2_out[0][0]
  367. conv5_block3_3_bn[0][0]
  368. __________________________________________________________________________________________________
  369. conv5_block3_out (Activation) (None, 7, 7, 2048) 0 conv5_block3_add[0][0]
  370. __________________________________________________________________________________________________
  371. global_average_pooling2d (Globa (None, 2048) 0 conv5_block3_out[0][0]
  372. __________________________________________________________________________________________________
  373. dense_1 (Dense) (None, 512) 1049088 global_average_pooling2d[0][0]
  374. __________________________________________________________________________________________________
  375. dense_2 (Dense) (None, 4) 2052 dense_1[0][0]
  376. ==================================================================================================
  377. Total params: 24,638,852
  378. Trainable params: 2,105,860
  379. Non-trainable params: 22,532,992
  380. __________________________________________________________________________________________________
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