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  1. Model created
  2. __________________________________________________________________________________________________
  3. Layer (type) Output Shape Param # Connected to
  4. ==================================================================================================
  5. input_3 (InputLayer) (None, 240, 320, 3) 0
  6. __________________________________________________________________________________________________
  7. conv2d_62 (Conv2D) (None, 240, 320, 24) 648 input_3[0][0]
  8. __________________________________________________________________________________________________
  9. batch_normalization_62 (BatchNo (None, 240, 320, 24) 96 conv2d_62[0][0]
  10. __________________________________________________________________________________________________
  11. activation_61 (Activation) (None, 240, 320, 24) 0 batch_normalization_62[0][0]
  12. __________________________________________________________________________________________________
  13. conv2d_63 (Conv2D) (None, 240, 320, 12) 2592 activation_61[0][0]
  14. __________________________________________________________________________________________________
  15. concatenate_57 (Concatenate) (None, 240, 320, 36) 0 conv2d_62[0][0]
  16. conv2d_63[0][0]
  17. __________________________________________________________________________________________________
  18. batch_normalization_63 (BatchNo (None, 240, 320, 36) 144 concatenate_57[0][0]
  19. __________________________________________________________________________________________________
  20. activation_62 (Activation) (None, 240, 320, 36) 0 batch_normalization_63[0][0]
  21. __________________________________________________________________________________________________
  22. conv2d_64 (Conv2D) (None, 240, 320, 12) 3888 activation_62[0][0]
  23. __________________________________________________________________________________________________
  24. concatenate_58 (Concatenate) (None, 240, 320, 48) 0 concatenate_57[0][0]
  25. conv2d_64[0][0]
  26. __________________________________________________________________________________________________
  27. batch_normalization_64 (BatchNo (None, 240, 320, 48) 192 concatenate_58[0][0]
  28. __________________________________________________________________________________________________
  29. activation_63 (Activation) (None, 240, 320, 48) 0 batch_normalization_64[0][0]
  30. __________________________________________________________________________________________________
  31. conv2d_65 (Conv2D) (None, 240, 320, 12) 5184 activation_63[0][0]
  32. __________________________________________________________________________________________________
  33. concatenate_59 (Concatenate) (None, 240, 320, 60) 0 concatenate_58[0][0]
  34. conv2d_65[0][0]
  35. __________________________________________________________________________________________________
  36. batch_normalization_65 (BatchNo (None, 240, 320, 60) 240 concatenate_59[0][0]
  37. __________________________________________________________________________________________________
  38. activation_64 (Activation) (None, 240, 320, 60) 0 batch_normalization_65[0][0]
  39. __________________________________________________________________________________________________
  40. conv2d_66 (Conv2D) (None, 240, 320, 12) 6480 activation_64[0][0]
  41. __________________________________________________________________________________________________
  42. concatenate_60 (Concatenate) (None, 240, 320, 72) 0 concatenate_59[0][0]
  43. conv2d_66[0][0]
  44. __________________________________________________________________________________________________
  45. batch_normalization_66 (BatchNo (None, 240, 320, 72) 288 concatenate_60[0][0]
  46. __________________________________________________________________________________________________
  47. activation_65 (Activation) (None, 240, 320, 72) 0 batch_normalization_66[0][0]
  48. __________________________________________________________________________________________________
  49. conv2d_67 (Conv2D) (None, 240, 320, 12) 7776 activation_65[0][0]
  50. __________________________________________________________________________________________________
  51. concatenate_61 (Concatenate) (None, 240, 320, 84) 0 concatenate_60[0][0]
  52. conv2d_67[0][0]
  53. __________________________________________________________________________________________________
  54. batch_normalization_67 (BatchNo (None, 240, 320, 84) 336 concatenate_61[0][0]
  55. __________________________________________________________________________________________________
  56. activation_66 (Activation) (None, 240, 320, 84) 0 batch_normalization_67[0][0]
  57. __________________________________________________________________________________________________
  58. conv2d_68 (Conv2D) (None, 240, 320, 12) 9072 activation_66[0][0]
  59. __________________________________________________________________________________________________
  60. concatenate_62 (Concatenate) (None, 240, 320, 96) 0 concatenate_61[0][0]
  61. conv2d_68[0][0]
  62. __________________________________________________________________________________________________
  63. batch_normalization_68 (BatchNo (None, 240, 320, 96) 384 concatenate_62[0][0]
  64. __________________________________________________________________________________________________
  65. activation_67 (Activation) (None, 240, 320, 96) 0 batch_normalization_68[0][0]
  66. __________________________________________________________________________________________________
  67. conv2d_69 (Conv2D) (None, 240, 320, 12) 10368 activation_67[0][0]
  68. __________________________________________________________________________________________________
  69. concatenate_63 (Concatenate) (None, 240, 320, 108 0 concatenate_62[0][0]
  70. conv2d_69[0][0]
  71. __________________________________________________________________________________________________
  72. batch_normalization_69 (BatchNo (None, 240, 320, 108 432 concatenate_63[0][0]
  73. __________________________________________________________________________________________________
  74. activation_68 (Activation) (None, 240, 320, 108 0 batch_normalization_69[0][0]
  75. __________________________________________________________________________________________________
  76. conv2d_70 (Conv2D) (None, 240, 320, 12) 11664 activation_68[0][0]
  77. __________________________________________________________________________________________________
  78. concatenate_64 (Concatenate) (None, 240, 320, 120 0 concatenate_63[0][0]
  79. conv2d_70[0][0]
  80. __________________________________________________________________________________________________
  81. batch_normalization_70 (BatchNo (None, 240, 320, 120 480 concatenate_64[0][0]
  82. __________________________________________________________________________________________________
  83. activation_69 (Activation) (None, 240, 320, 120 0 batch_normalization_70[0][0]
  84. __________________________________________________________________________________________________
  85. conv2d_71 (Conv2D) (None, 240, 320, 12) 12960 activation_69[0][0]
  86. __________________________________________________________________________________________________
  87. concatenate_65 (Concatenate) (None, 240, 320, 132 0 concatenate_64[0][0]
  88. conv2d_71[0][0]
  89. __________________________________________________________________________________________________
  90. batch_normalization_71 (BatchNo (None, 240, 320, 132 528 concatenate_65[0][0]
  91. __________________________________________________________________________________________________
  92. activation_70 (Activation) (None, 240, 320, 132 0 batch_normalization_71[0][0]
  93. __________________________________________________________________________________________________
  94. conv2d_72 (Conv2D) (None, 240, 320, 12) 14256 activation_70[0][0]
  95. __________________________________________________________________________________________________
  96. concatenate_66 (Concatenate) (None, 240, 320, 144 0 concatenate_65[0][0]
  97. conv2d_72[0][0]
  98. __________________________________________________________________________________________________
  99. batch_normalization_72 (BatchNo (None, 240, 320, 144 576 concatenate_66[0][0]
  100. __________________________________________________________________________________________________
  101. activation_71 (Activation) (None, 240, 320, 144 0 batch_normalization_72[0][0]
  102. __________________________________________________________________________________________________
  103. conv2d_73 (Conv2D) (None, 240, 320, 12) 15552 activation_71[0][0]
  104. __________________________________________________________________________________________________
  105. concatenate_67 (Concatenate) (None, 240, 320, 156 0 concatenate_66[0][0]
  106. conv2d_73[0][0]
  107. __________________________________________________________________________________________________
  108. batch_normalization_73 (BatchNo (None, 240, 320, 156 624 concatenate_67[0][0]
  109. __________________________________________________________________________________________________
  110. activation_72 (Activation) (None, 240, 320, 156 0 batch_normalization_73[0][0]
  111. __________________________________________________________________________________________________
  112. conv2d_74 (Conv2D) (None, 240, 320, 12) 16848 activation_72[0][0]
  113. __________________________________________________________________________________________________
  114. concatenate_68 (Concatenate) (None, 240, 320, 168 0 concatenate_67[0][0]
  115. conv2d_74[0][0]
  116. __________________________________________________________________________________________________
  117. batch_normalization_74 (BatchNo (None, 240, 320, 168 672 concatenate_68[0][0]
  118. __________________________________________________________________________________________________
  119. activation_73 (Activation) (None, 240, 320, 168 0 batch_normalization_74[0][0]
  120. __________________________________________________________________________________________________
  121. conv2d_75 (Conv2D) (None, 240, 320, 168 28224 activation_73[0][0]
  122. __________________________________________________________________________________________________
  123. average_pooling2d_4 (AveragePoo (None, 120, 160, 168 0 conv2d_75[0][0]
  124. __________________________________________________________________________________________________
  125. batch_normalization_75 (BatchNo (None, 120, 160, 168 672 average_pooling2d_4[0][0]
  126. __________________________________________________________________________________________________
  127. activation_74 (Activation) (None, 120, 160, 168 0 batch_normalization_75[0][0]
  128. __________________________________________________________________________________________________
  129. conv2d_76 (Conv2D) (None, 120, 160, 12) 18144 activation_74[0][0]
  130. __________________________________________________________________________________________________
  131. concatenate_69 (Concatenate) (None, 120, 160, 180 0 average_pooling2d_4[0][0]
  132. conv2d_76[0][0]
  133. __________________________________________________________________________________________________
  134. batch_normalization_76 (BatchNo (None, 120, 160, 180 720 concatenate_69[0][0]
  135. __________________________________________________________________________________________________
  136. activation_75 (Activation) (None, 120, 160, 180 0 batch_normalization_76[0][0]
  137. __________________________________________________________________________________________________
  138. conv2d_77 (Conv2D) (None, 120, 160, 12) 19440 activation_75[0][0]
  139. __________________________________________________________________________________________________
  140. concatenate_70 (Concatenate) (None, 120, 160, 192 0 concatenate_69[0][0]
  141. conv2d_77[0][0]
  142. __________________________________________________________________________________________________
  143. batch_normalization_77 (BatchNo (None, 120, 160, 192 768 concatenate_70[0][0]
  144. __________________________________________________________________________________________________
  145. activation_76 (Activation) (None, 120, 160, 192 0 batch_normalization_77[0][0]
  146. __________________________________________________________________________________________________
  147. conv2d_78 (Conv2D) (None, 120, 160, 12) 20736 activation_76[0][0]
  148. __________________________________________________________________________________________________
  149. concatenate_71 (Concatenate) (None, 120, 160, 204 0 concatenate_70[0][0]
  150. conv2d_78[0][0]
  151. __________________________________________________________________________________________________
  152. batch_normalization_78 (BatchNo (None, 120, 160, 204 816 concatenate_71[0][0]
  153. __________________________________________________________________________________________________
  154. activation_77 (Activation) (None, 120, 160, 204 0 batch_normalization_78[0][0]
  155. __________________________________________________________________________________________________
  156. conv2d_79 (Conv2D) (None, 120, 160, 12) 22032 activation_77[0][0]
  157. __________________________________________________________________________________________________
  158. concatenate_72 (Concatenate) (None, 120, 160, 216 0 concatenate_71[0][0]
  159. conv2d_79[0][0]
  160. __________________________________________________________________________________________________
  161. batch_normalization_79 (BatchNo (None, 120, 160, 216 864 concatenate_72[0][0]
  162. __________________________________________________________________________________________________
  163. activation_78 (Activation) (None, 120, 160, 216 0 batch_normalization_79[0][0]
  164. __________________________________________________________________________________________________
  165. conv2d_80 (Conv2D) (None, 120, 160, 12) 23328 activation_78[0][0]
  166. __________________________________________________________________________________________________
  167. concatenate_73 (Concatenate) (None, 120, 160, 228 0 concatenate_72[0][0]
  168. conv2d_80[0][0]
  169. __________________________________________________________________________________________________
  170. batch_normalization_80 (BatchNo (None, 120, 160, 228 912 concatenate_73[0][0]
  171. __________________________________________________________________________________________________
  172. activation_79 (Activation) (None, 120, 160, 228 0 batch_normalization_80[0][0]
  173. __________________________________________________________________________________________________
  174. conv2d_81 (Conv2D) (None, 120, 160, 12) 24624 activation_79[0][0]
  175. __________________________________________________________________________________________________
  176. concatenate_74 (Concatenate) (None, 120, 160, 240 0 concatenate_73[0][0]
  177. conv2d_81[0][0]
  178. __________________________________________________________________________________________________
  179. batch_normalization_81 (BatchNo (None, 120, 160, 240 960 concatenate_74[0][0]
  180. __________________________________________________________________________________________________
  181. activation_80 (Activation) (None, 120, 160, 240 0 batch_normalization_81[0][0]
  182. __________________________________________________________________________________________________
  183. conv2d_82 (Conv2D) (None, 120, 160, 12) 25920 activation_80[0][0]
  184. __________________________________________________________________________________________________
  185. concatenate_75 (Concatenate) (None, 120, 160, 252 0 concatenate_74[0][0]
  186. conv2d_82[0][0]
  187. __________________________________________________________________________________________________
  188. batch_normalization_82 (BatchNo (None, 120, 160, 252 1008 concatenate_75[0][0]
  189. __________________________________________________________________________________________________
  190. activation_81 (Activation) (None, 120, 160, 252 0 batch_normalization_82[0][0]
  191. __________________________________________________________________________________________________
  192. conv2d_83 (Conv2D) (None, 120, 160, 12) 27216 activation_81[0][0]
  193. __________________________________________________________________________________________________
  194. concatenate_76 (Concatenate) (None, 120, 160, 264 0 concatenate_75[0][0]
  195. conv2d_83[0][0]
  196. __________________________________________________________________________________________________
  197. batch_normalization_83 (BatchNo (None, 120, 160, 264 1056 concatenate_76[0][0]
  198. __________________________________________________________________________________________________
  199. activation_82 (Activation) (None, 120, 160, 264 0 batch_normalization_83[0][0]
  200. __________________________________________________________________________________________________
  201. conv2d_84 (Conv2D) (None, 120, 160, 12) 28512 activation_82[0][0]
  202. __________________________________________________________________________________________________
  203. concatenate_77 (Concatenate) (None, 120, 160, 276 0 concatenate_76[0][0]
  204. conv2d_84[0][0]
  205. __________________________________________________________________________________________________
  206. batch_normalization_84 (BatchNo (None, 120, 160, 276 1104 concatenate_77[0][0]
  207. __________________________________________________________________________________________________
  208. activation_83 (Activation) (None, 120, 160, 276 0 batch_normalization_84[0][0]
  209. __________________________________________________________________________________________________
  210. conv2d_85 (Conv2D) (None, 120, 160, 12) 29808 activation_83[0][0]
  211. __________________________________________________________________________________________________
  212. concatenate_78 (Concatenate) (None, 120, 160, 288 0 concatenate_77[0][0]
  213. conv2d_85[0][0]
  214. __________________________________________________________________________________________________
  215. batch_normalization_85 (BatchNo (None, 120, 160, 288 1152 concatenate_78[0][0]
  216. __________________________________________________________________________________________________
  217. activation_84 (Activation) (None, 120, 160, 288 0 batch_normalization_85[0][0]
  218. __________________________________________________________________________________________________
  219. conv2d_86 (Conv2D) (None, 120, 160, 12) 31104 activation_84[0][0]
  220. __________________________________________________________________________________________________
  221. concatenate_79 (Concatenate) (None, 120, 160, 300 0 concatenate_78[0][0]
  222. conv2d_86[0][0]
  223. __________________________________________________________________________________________________
  224. batch_normalization_86 (BatchNo (None, 120, 160, 300 1200 concatenate_79[0][0]
  225. __________________________________________________________________________________________________
  226. activation_85 (Activation) (None, 120, 160, 300 0 batch_normalization_86[0][0]
  227. __________________________________________________________________________________________________
  228. conv2d_87 (Conv2D) (None, 120, 160, 12) 32400 activation_85[0][0]
  229. __________________________________________________________________________________________________
  230. concatenate_80 (Concatenate) (None, 120, 160, 312 0 concatenate_79[0][0]
  231. conv2d_87[0][0]
  232. __________________________________________________________________________________________________
  233. batch_normalization_87 (BatchNo (None, 120, 160, 312 1248 concatenate_80[0][0]
  234. __________________________________________________________________________________________________
  235. activation_86 (Activation) (None, 120, 160, 312 0 batch_normalization_87[0][0]
  236. __________________________________________________________________________________________________
  237. conv2d_88 (Conv2D) (None, 120, 160, 312 97344 activation_86[0][0]
  238. __________________________________________________________________________________________________
  239. average_pooling2d_5 (AveragePoo (None, 60, 80, 312) 0 conv2d_88[0][0]
  240. __________________________________________________________________________________________________
  241. batch_normalization_88 (BatchNo (None, 60, 80, 312) 1248 average_pooling2d_5[0][0]
  242. __________________________________________________________________________________________________
  243. activation_87 (Activation) (None, 60, 80, 312) 0 batch_normalization_88[0][0]
  244. __________________________________________________________________________________________________
  245. conv2d_89 (Conv2D) (None, 60, 80, 12) 33696 activation_87[0][0]
  246. __________________________________________________________________________________________________
  247. concatenate_81 (Concatenate) (None, 60, 80, 324) 0 average_pooling2d_5[0][0]
  248. conv2d_89[0][0]
  249. __________________________________________________________________________________________________
  250. batch_normalization_89 (BatchNo (None, 60, 80, 324) 1296 concatenate_81[0][0]
  251. __________________________________________________________________________________________________
  252. activation_88 (Activation) (None, 60, 80, 324) 0 batch_normalization_89[0][0]
  253. __________________________________________________________________________________________________
  254. conv2d_90 (Conv2D) (None, 60, 80, 12) 34992 activation_88[0][0]
  255. __________________________________________________________________________________________________
  256. concatenate_82 (Concatenate) (None, 60, 80, 336) 0 concatenate_81[0][0]
  257. conv2d_90[0][0]
  258. __________________________________________________________________________________________________
  259. batch_normalization_90 (BatchNo (None, 60, 80, 336) 1344 concatenate_82[0][0]
  260. __________________________________________________________________________________________________
  261. activation_89 (Activation) (None, 60, 80, 336) 0 batch_normalization_90[0][0]
  262. __________________________________________________________________________________________________
  263. conv2d_91 (Conv2D) (None, 60, 80, 12) 36288 activation_89[0][0]
  264. __________________________________________________________________________________________________
  265. concatenate_83 (Concatenate) (None, 60, 80, 348) 0 concatenate_82[0][0]
  266. conv2d_91[0][0]
  267. __________________________________________________________________________________________________
  268. batch_normalization_91 (BatchNo (None, 60, 80, 348) 1392 concatenate_83[0][0]
  269. __________________________________________________________________________________________________
  270. activation_90 (Activation) (None, 60, 80, 348) 0 batch_normalization_91[0][0]
  271. __________________________________________________________________________________________________
  272. conv2d_92 (Conv2D) (None, 60, 80, 12) 37584 activation_90[0][0]
  273. __________________________________________________________________________________________________
  274. concatenate_84 (Concatenate) (None, 60, 80, 360) 0 concatenate_83[0][0]
  275. conv2d_92[0][0]
  276. __________________________________________________________________________________________________
  277. batch_normalization_92 (BatchNo (None, 60, 80, 360) 1440 concatenate_84[0][0]
  278. __________________________________________________________________________________________________
  279. activation_91 (Activation) (None, 60, 80, 360) 0 batch_normalization_92[0][0]
  280. __________________________________________________________________________________________________
  281. conv2d_93 (Conv2D) (None, 60, 80, 12) 38880 activation_91[0][0]
  282. __________________________________________________________________________________________________
  283. concatenate_85 (Concatenate) (None, 60, 80, 372) 0 concatenate_84[0][0]
  284. conv2d_93[0][0]
  285. __________________________________________________________________________________________________
  286. batch_normalization_93 (BatchNo (None, 60, 80, 372) 1488 concatenate_85[0][0]
  287. __________________________________________________________________________________________________
  288. activation_92 (Activation) (None, 60, 80, 372) 0 batch_normalization_93[0][0]
  289. __________________________________________________________________________________________________
  290. conv2d_94 (Conv2D) (None, 60, 80, 12) 40176 activation_92[0][0]
  291. __________________________________________________________________________________________________
  292. concatenate_86 (Concatenate) (None, 60, 80, 384) 0 concatenate_85[0][0]
  293. conv2d_94[0][0]
  294. __________________________________________________________________________________________________
  295. batch_normalization_94 (BatchNo (None, 60, 80, 384) 1536 concatenate_86[0][0]
  296. __________________________________________________________________________________________________
  297. activation_93 (Activation) (None, 60, 80, 384) 0 batch_normalization_94[0][0]
  298. __________________________________________________________________________________________________
  299. conv2d_95 (Conv2D) (None, 60, 80, 12) 41472 activation_93[0][0]
  300. __________________________________________________________________________________________________
  301. concatenate_87 (Concatenate) (None, 60, 80, 396) 0 concatenate_86[0][0]
  302. conv2d_95[0][0]
  303. __________________________________________________________________________________________________
  304. batch_normalization_95 (BatchNo (None, 60, 80, 396) 1584 concatenate_87[0][0]
  305. __________________________________________________________________________________________________
  306. activation_94 (Activation) (None, 60, 80, 396) 0 batch_normalization_95[0][0]
  307. __________________________________________________________________________________________________
  308. conv2d_96 (Conv2D) (None, 60, 80, 12) 42768 activation_94[0][0]
  309. __________________________________________________________________________________________________
  310. concatenate_88 (Concatenate) (None, 60, 80, 408) 0 concatenate_87[0][0]
  311. conv2d_96[0][0]
  312. __________________________________________________________________________________________________
  313. batch_normalization_96 (BatchNo (None, 60, 80, 408) 1632 concatenate_88[0][0]
  314. __________________________________________________________________________________________________
  315. activation_95 (Activation) (None, 60, 80, 408) 0 batch_normalization_96[0][0]
  316. __________________________________________________________________________________________________
  317. conv2d_97 (Conv2D) (None, 60, 80, 12) 44064 activation_95[0][0]
  318. __________________________________________________________________________________________________
  319. concatenate_89 (Concatenate) (None, 60, 80, 420) 0 concatenate_88[0][0]
  320. conv2d_97[0][0]
  321. __________________________________________________________________________________________________
  322. batch_normalization_97 (BatchNo (None, 60, 80, 420) 1680 concatenate_89[0][0]
  323. __________________________________________________________________________________________________
  324. activation_96 (Activation) (None, 60, 80, 420) 0 batch_normalization_97[0][0]
  325. __________________________________________________________________________________________________
  326. conv2d_98 (Conv2D) (None, 60, 80, 12) 45360 activation_96[0][0]
  327. __________________________________________________________________________________________________
  328. concatenate_90 (Concatenate) (None, 60, 80, 432) 0 concatenate_89[0][0]
  329. conv2d_98[0][0]
  330. __________________________________________________________________________________________________
  331. batch_normalization_98 (BatchNo (None, 60, 80, 432) 1728 concatenate_90[0][0]
  332. __________________________________________________________________________________________________
  333. activation_97 (Activation) (None, 60, 80, 432) 0 batch_normalization_98[0][0]
  334. __________________________________________________________________________________________________
  335. conv2d_99 (Conv2D) (None, 60, 80, 12) 46656 activation_97[0][0]
  336. __________________________________________________________________________________________________
  337. concatenate_91 (Concatenate) (None, 60, 80, 444) 0 concatenate_90[0][0]
  338. conv2d_99[0][0]
  339. __________________________________________________________________________________________________
  340. batch_normalization_99 (BatchNo (None, 60, 80, 444) 1776 concatenate_91[0][0]
  341. __________________________________________________________________________________________________
  342. activation_98 (Activation) (None, 60, 80, 444) 0 batch_normalization_99[0][0]
  343. __________________________________________________________________________________________________
  344. conv2d_100 (Conv2D) (None, 60, 80, 12) 47952 activation_98[0][0]
  345. __________________________________________________________________________________________________
  346. concatenate_92 (Concatenate) (None, 60, 80, 456) 0 concatenate_91[0][0]
  347. conv2d_100[0][0]
  348. __________________________________________________________________________________________________
  349. batch_normalization_100 (BatchN (None, 60, 80, 456) 1824 concatenate_92[0][0]
  350. __________________________________________________________________________________________________
  351. activation_99 (Activation) (None, 60, 80, 456) 0 batch_normalization_100[0][0]
  352. __________________________________________________________________________________________________
  353. global_average_pooling2d_2 (Glo (None, 456) 0 activation_99[0][0]
  354. __________________________________________________________________________________________________
  355. dense_2 (Dense) (None, 3) 1371 global_average_pooling2d_2[0][0]
  356. ==================================================================================================
  357. Total params: 1,074,819
  358. Trainable params: 1,056,099
  359. Non-trainable params: 18,720
  360. __________________________________________________________________________________________________
  361. Finished compiling
  362. Building model...
  363. Epoch 1/10
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