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  1. Using Theano backend.
  2. ('X_train shape:', (60000, 1, 28, 28))
  3. (60000, 'train samples')
  4. (10000, 'test samples')
  5. ____________________________________________________________________________________________________
  6. Layer (type) Output Shape Param # Connected to
  7. ====================================================================================================
  8. convolution2d_1 (Convolution2D) (None, 32, 26, 26) 320 convolution2d_input_1[0][0]
  9. ____________________________________________________________________________________________________
  10. activation_1 (Activation) (None, 32, 26, 26) 0 convolution2d_1[0][0]
  11. ____________________________________________________________________________________________________
  12. convolution2d_2 (Convolution2D) (None, 32, 24, 24) 9248 activation_1[0][0]
  13. ____________________________________________________________________________________________________
  14. activation_2 (Activation) (None, 32, 24, 24) 0 convolution2d_2[0][0]
  15. ____________________________________________________________________________________________________
  16. maxpooling2d_1 (MaxPooling2D) (None, 32, 12, 12) 0 activation_2[0][0]
  17. ____________________________________________________________________________________________________
  18. flatten_1 (Flatten) (None, 4608) 0 maxpooling2d_1[0][0]
  19. ____________________________________________________________________________________________________
  20. dense_1 (Dense) (None, 128) 589952 flatten_1[0][0]
  21. ____________________________________________________________________________________________________
  22. activation_3 (Activation) (None, 128) 0 dense_1[0][0]
  23. ____________________________________________________________________________________________________
  24. dense_2 (Dense) (None, 10) 1290 activation_3[0][0]
  25. ____________________________________________________________________________________________________
  26. activation_4 (Activation) (None, 10) 0 dense_2[0][0]
  27. ====================================================================================================
  28. Total params: 600,810
  29. Trainable params: 600,810
  30. Non-trainable params: 0
  31. ____________________________________________________________________________________________________
  32. Model loaded! Testing.........
  33. [array([[[[-0.21475345, -0.3778243 , -0.2383569 ],
  34. [ 0.05350851, -0.07872319, 0.07567491],
  35. [-0.01435056, 0.47229946, 0.28566438]]],
  36.  
  37.  
  38. [[[-0.4000334 , -0.13122307, 0.13511278],
  39. [-0.26518238, 0.43368348, 0.05210739],
  40. [ 0.34105837, 0.3107332 , -0.04612895]]],
  41.  
  42.  
  43. [[[ 0.04334124, 0.20101008, 0.3223994 ],
  44. [-0.22157831, -0.11469735, 0.17504884],
  45. [-0.07254443, -0.37260133, -0.15876196]]],
  46.  
  47.  
  48. [[[-0.2511827 , 0.10213758, 0.38096505],
  49. [-0.21265216, 0.45724213, 0.0288387 ],
  50. [ 0.10258586, 0.07703188, -0.43567723]]],
  51.  
  52.  
  53. [[[ 0.2794362 , 0.46857074, -0.15056367],
  54. [-0.20336272, -0.0235762 , 0.21367714],
  55. [-0.37920937, -0.24561211, -0.46355796]]],
  56.  
  57.  
  58. [[[ 0.19811878, -0.10364752, 0.18093202],
  59. [-0.01508104, 0.41955748, 0.35771063],
  60. [ 0.05126885, 0.06995402, 0.46638817]]],
  61.  
  62.  
  63. [[[-0.13809314, -0.41305038, -0.39041084],
  64. [ 0.4126125 , 0.42837054, 0.07052164],
  65. [-0.05041655, 0.25506458, -0.24336004]]],
  66.  
  67.  
  68. [[[ 0.22700718, 0.13750452, -0.2700095 ],
  69. [ 0.1801857 , 0.33204123, -0.3303592 ],
  70. [ 0.35255918, -0.11945956, 0.10747344]]],
  71.  
  72.  
  73. [[[-0.23080632, -0.11050937, -0.3276531 ],
  74. [ 0.02012286, -0.00763206, 0.00402179],
  75. [ 0.34768787, 0.12326514, 0.28551692]]],
  76.  
  77.  
  78. [[[ 0.2308953 , -0.13095796, 0.2827694 ],
  79. [ 0.19020239, 0.32944956, -0.0517582 ],
  80. [-0.0352532 , 0.30561754, 0.09565173]]],
  81.  
  82.  
  83. [[[ 0.0170002 , -0.17927359, 0.37381518],
  84. [ 0.08410943, 0.22698084, -0.1897681 ],
  85. [-0.04099729, -0.11640094, -0.05152173]]],
  86.  
  87.  
  88. [[[-0.32775775, 0.10711254, -0.3503767 ],
  89. [-0.19989216, 0.21988747, 0.40384603],
  90. [ 0.13647695, -0.0105061 , 0.32590878]]],
  91.  
  92.  
  93. [[[ 0.5069038 , -0.03681418, -0.00841984],
  94. [ 0.2571278 , -0.02553519, -0.32964525],
  95. [-0.04340854, 0.01016216, -0.39662936]]],
  96.  
  97.  
  98. [[[ 0.474029 , 0.3338848 , 0.33861506],
  99. [-0.2357028 , -0.2353209 , -0.12108105],
  100. [-0.27136683, -0.19582453, 0.13349244]]],
  101.  
  102.  
  103. [[[ 0.03981418, 0.4759531 , 0.26943627],
  104. [-0.24686217, -0.1989723 , -0.02041805],
  105. [-0.07938316, -0.3517057 , 0.11721465]]],
  106.  
  107.  
  108. [[[-0.33823624, 0.23891371, 0.17495558],
  109. [-0.38944462, 0.24318711, -0.09505022],
  110. [ 0.28519148, -0.07584549, 0.02601986]]],
  111.  
  112.  
  113. [[[-0.22376697, 0.32252514, -0.07329731],
  114. [ 0.26214963, 0.12881182, 0.3805774 ],
  115. [ 0.0354609 , -0.37945864, -0.34268212]]],
  116.  
  117.  
  118. [[[ 0.37976578, -0.05595415, -0.37665224],
  119. [ 0.19079594, 0.10807029, -0.06628123],
  120. [ 0.36430418, 0.34361672, -0.24621595]]],
  121.  
  122.  
  123. [[[ 0.29950655, 0.07850014, -0.14385207],
  124. [-0.2659507 , -0.2160234 , 0.03863483],
  125. [-0.17762235, -0.01610425, -0.12292821]]],
  126.  
  127.  
  128. [[[-0.00123453, 0.16920912, 0.41215006],
  129. [-0.4605148 , 0.03230205, 0.1740847 ],
  130. [-0.3590147 , 0.1802568 , -0.02260734]]],
  131.  
  132.  
  133. [[[ 0.02126401, 0.10562489, 0.30802482],
  134. [ 0.16611075, 0.12181432, -0.31786364],
  135. [-0.38715634, 0.01734868, 0.25159 ]]],
  136.  
  137.  
  138. [[[ 0.21979384, -0.43675894, -0.16292658],
  139. [-0.23211618, -0.22774072, 0.19744071],
  140. [-0.2563827 , -0.09034909, 0.32958788]]],
  141.  
  142.  
  143. [[[ 0.28024653, 0.05475927, 0.20570675],
  144. [-0.07511564, 0.27446297, 0.36993203],
  145. [-0.47937626, 0.13584301, 0.23961163]]],
  146.  
  147.  
  148. [[[ 0.13331267, 0.19976906, 0.35772783],
  149. [ 0.11681551, -0.23339322, 0.21860658],
  150. [ 0.445265 , 0.32354867, 0.31340632]]],
  151.  
  152.  
  153. [[[-0.41535407, -0.33781222, 0.27443537],
  154. [ 0.03158411, 0.16912405, -0.0920372 ],
  155. [-0.36897895, -0.1806204 , 0.4180813 ]]],
  156.  
  157.  
  158. [[[ 0.01611109, -0.18870087, 0.09694314],
  159. [-0.29273573, -0.18068753, -0.2669328 ],
  160. [ 0.33195752, 0.2874022 , 0.18873623]]],
  161.  
  162.  
  163. [[[ 0.375679 , 0.26650357, -0.17791174],
  164. [-0.2563742 , -0.09773535, -0.332667 ],
  165. [-0.22013085, -0.11846393, 0.062883 ]]],
  166.  
  167.  
  168. [[[ 0.30503586, -0.0671583 , -0.05028742],
  169. [ 0.3142604 , -0.08977459, 0.12324791],
  170. [ 0.41923425, -0.2543174 , 0.00143571]]],
  171.  
  172.  
  173. [[[ 0.14768374, -0.2833954 , 0.25339633],
  174. [ 0.19893493, 0.24477802, 0.31729755],
  175. [ 0.26002687, 0.22596571, 0.11096882]]],
  176.  
  177.  
  178. [[[ 0.15749498, 0.32356873, 0.3440327 ],
  179. [-0.14388855, 0.18463941, -0.17473835],
  180. [ 0.25501472, -0.38306156, -0.38724226]]],
  181.  
  182.  
  183. [[[-0.38024825, 0.12582068, 0.12802361],
  184. [-0.3125472 , -0.307827 , 0.2995141 ],
  185. [ 0.27664754, -0.06755596, 0.33223927]]],
  186.  
  187.  
  188. [[[ 0.3209611 , 0.29346848, 0.04220967],
  189. [ 0.1644404 , 0.25797305, 0.21917829],
  190. [-0.09463446, 0.13890305, 0.19389004]]]], dtype=float32), array([ 0.03490612, -0.01472297, 0.03375885, 0.01158773, 0.01054039,
  191. -0.00179442, 0.06025681, 0.00231886, 0.01915196, -0.00428457,
  192. 0.02942044, 0.0539087 , 0.03263302, -0.00025587, -0.00051558,
  193. 0.0166452 , 0.0001927 , -0.00693035, 0.0081015 , -0.00207104,
  194. 0.00043889, 0.05346147, -0.00331595, -0.00584962, 0.02993683,
  195. 0.01633271, 0.02774933, 0.00947017, -0.0162036 , 0.0073264 ,
  196. 0.05888777, -0.00145483], dtype=float32)]
  197. []
  198. [array([[[[-1.52539574e-02, -1.22869305e-01, -7.53502399e-02],
  199. [-1.65932938e-01, -1.47008240e-01, -1.12685941e-01],
  200. [-8.61812606e-02, -2.66178679e-02, -2.54121006e-01]],
  201.  
  202. [[-1.92991346e-01, 8.05754587e-03, -2.51172073e-02],
  203. [ 4.50303890e-02, -1.16288707e-01, -2.33921278e-02],
  204. [ 9.14270207e-02, 1.10320210e-01, 1.42839238e-01]],
  205.  
  206. [[-5.45701310e-02, 1.22463359e-02, 4.49676737e-02],
  207. [-4.88166697e-02, -8.72334242e-02, 1.94011554e-02],
  208. [-1.47220716e-01, 4.42916155e-02, -7.15218857e-02]],
  209.  
  210. ...,
  211.  
  212. [[ 7.10901469e-02, -2.03471467e-01, 3.44503927e-03],
  213. [-1.44947574e-01, -2.14702591e-01, -1.81373060e-01],
  214. [-2.37742700e-02, -2.08290711e-01, -1.19560748e-01]],
  215.  
  216. [[-6.59116134e-02, -9.37473178e-02, 1.29515678e-01],
  217. [-5.00653423e-02, 1.26857564e-01, 1.85290016e-02],
  218. [-1.00815058e-01, 1.31918773e-01, 9.51298475e-02]],
  219.  
  220. [[ 1.25809703e-02, -6.59619123e-02, 1.33082345e-01],
  221. [-1.58634614e-02, 1.07256085e-01, 8.63330737e-02],
  222. [ 2.11387649e-02, -1.26632014e-02, 1.32874653e-01]]],
  223.  
  224.  
  225. [[[-2.77456641e-01, 1.53042637e-02, -1.16062798e-01],
  226. [-1.45370498e-01, -1.27277806e-01, 5.44430362e-03],
  227. [ 9.01225116e-03, -9.40745920e-02, -1.48906544e-01]],
  228.  
  229. [[-1.73781618e-01, -1.66113615e-01, 1.21022327e-04],
  230. [-5.91795007e-03, -1.97866514e-01, -2.13747516e-01],
  231. [-1.08728940e-02, -1.32642627e-01, -1.16648085e-01]],
  232.  
  233. [[-3.47357579e-02, -1.01357847e-02, 2.23263018e-02],
  234. [ 2.26272449e-01, 1.17511846e-01, -6.14700653e-02],
  235. [ 7.53109856e-03, 7.74533600e-02, 1.77910268e-01]],
  236.  
  237. ...,
  238.  
  239. [[ 9.25684646e-02, -1.03650510e-01, 1.59040838e-02],
  240. [-4.08732854e-02, -9.23938006e-02, -1.09971769e-01],
  241. [ 9.11167413e-02, 6.42084256e-02, -8.59116092e-02]],
  242.  
  243. [[ 6.25671297e-02, -9.32249278e-02, -1.77997172e-01],
  244. [-9.65402499e-02, -8.62437021e-03, 3.66151817e-02],
  245. [ 1.07669100e-01, 7.72840343e-03, -4.17146087e-02]],
  246.  
  247. [[ 7.12762102e-02, 1.55919865e-01, 3.08785513e-02],
  248. [-6.83970079e-02, -1.09397061e-01, 2.29659509e-02],
  249. [-1.30499303e-01, -1.01190284e-01, 1.31369337e-01]]],
  250.  
  251.  
  252. [[[ 1.87906906e-01, 1.16955876e-01, -1.06060028e-01],
  253. [-4.35057320e-02, 1.08038843e-01, 7.18602091e-02],
  254. [ 3.63274589e-02, 1.01442158e-01, -5.36187738e-03]],
  255.  
  256. [[-5.98621592e-02, 4.25443202e-02, 1.15257911e-01],
  257. [-2.12054044e-01, 5.72014302e-02, 7.89384097e-02],
  258. [-2.12383553e-01, -1.66561440e-01, -1.60721928e-01]],
  259.  
  260. [[-7.64391348e-02, -7.36388639e-02, -1.86561152e-01],
  261. [ 1.49284467e-01, 6.01404943e-02, -1.12124486e-02],
  262. [ 2.00858951e-01, 1.00159161e-02, 3.98098957e-03]],
  263.  
  264. ...,
  265.  
  266. [[ 5.66656105e-02, 2.16321554e-04, 1.30797803e-01],
  267. [ 7.12517556e-03, 1.39165893e-01, 3.42318639e-02],
  268. [-6.21145256e-02, 1.97256863e-01, 2.28649631e-01]],
  269.  
  270. [[-8.83938968e-02, -2.64570639e-02, -5.11801913e-02],
  271. [ 4.34741058e-04, -1.57462031e-01, -6.98356703e-02],
  272. [-7.43886232e-02, -2.18776897e-01, -1.58231005e-01]],
  273.  
  274. [[ 1.12884589e-01, -1.00121953e-01, -1.21710055e-01],
  275. [ 1.56592950e-01, 5.81614897e-02, -1.51078135e-01],
  276. [-6.88179508e-02, -2.51468625e-02, -1.06401600e-01]]],
  277.  
  278.  
  279. ...,
  280.  
  281.  
  282. [[[ 5.34858368e-03, -9.61778965e-03, 1.94138363e-02],
  283. [ 1.24632217e-01, -7.32071325e-02, -5.23492582e-02],
  284. [-2.77358331e-02, -8.18825364e-02, -9.85242277e-02]],
  285.  
  286. [[-2.58868992e-01, -4.47021425e-03, 1.15185060e-01],
  287. [ 7.68699348e-02, -4.95151011e-03, -9.32482705e-02],
  288. [ 3.77083868e-02, -6.66899905e-02, 9.23961680e-03]],
  289.  
  290. [[ 1.14235662e-01, 2.44549639e-03, -6.68414384e-02],
  291. [-4.45428602e-02, -1.00031234e-01, -1.90173969e-01],
  292. [-1.07369557e-01, -1.18694436e-02, 9.58575681e-02]],
  293.  
  294. ...,
  295.  
  296. [[-2.24632561e-01, -1.30099314e-03, 1.01787962e-01],
  297. [-2.70616878e-02, 1.17681921e-01, 1.55209839e-01],
  298. [-4.80892360e-02, 1.29505144e-02, 6.35494152e-03]],
  299.  
  300. [[-2.11279541e-02, 1.62167802e-01, 1.23232596e-01],
  301. [-9.30171739e-03, -9.81439129e-02, -1.42235056e-01],
  302. [ 3.16024721e-02, -1.36776477e-01, -1.88017383e-01]],
  303.  
  304. [[ 6.65980652e-02, 5.60610183e-02, 1.01266816e-01],
  305. [-1.26181290e-01, -6.28214329e-02, -6.79814257e-04],
  306. [-1.02186173e-01, 4.10766043e-02, 1.75379068e-02]]],
  307.  
  308.  
  309. [[[-6.11130446e-02, -1.63934052e-01, -3.54304872e-02],
  310. [-1.32173091e-01, -1.77554786e-01, -1.75525397e-01],
  311. [ 9.53055732e-03, -1.34507656e-01, -4.57611233e-02]],
  312.  
  313. [[-1.25524014e-01, -6.33745193e-02, 8.14680010e-03],
  314. [ 5.08117825e-02, -1.89326465e-01, -6.24360889e-02],
  315. [-5.69107123e-02, -6.62182495e-02, -3.18556353e-02]],
  316.  
  317. [[-4.77951095e-02, 1.84958547e-01, -1.08909190e-01],
  318. [-6.16104044e-02, -2.68950202e-02, -3.86204794e-02],
  319. [ 5.96628860e-02, 2.54763514e-02, 4.81495112e-02]],
  320.  
  321. ...,
  322.  
  323. [[ 1.52442187e-01, 1.03017911e-01, -1.04353249e-01],
  324. [-4.19205539e-02, -1.76863670e-02, 4.54267450e-02],
  325. [ 7.35331625e-02, -1.09646536e-01, 3.01097184e-02]],
  326.  
  327. [[-1.44263342e-01, 1.54409856e-01, 4.81513068e-02],
  328. [-1.59608889e-02, 1.68206334e-01, 1.34015173e-01],
  329. [ 1.33759202e-02, 1.59572363e-01, 1.00194819e-01]],
  330.  
  331. [[-1.00133906e-03, 7.67183602e-02, 1.45438015e-01],
  332. [-1.82946736e-03, -1.12071089e-01, 9.05565321e-02],
  333. [ 9.61766019e-02, -1.04538491e-03, -1.38218999e-01]]],
  334.  
  335.  
  336. [[[ 8.88125449e-02, 7.10407868e-02, 1.15868129e-01],
  337. [ 7.73748159e-02, 8.68468508e-02, 2.33040303e-02],
  338. [-5.49593009e-03, -8.50614980e-02, -8.04665387e-02]],
  339.  
  340. [[ 6.60383403e-02, -9.87419710e-02, -1.01137809e-01],
  341. [-1.09350130e-01, 9.71119627e-02, 6.62953258e-02],
  342. [ 5.76404519e-02, -1.29417926e-02, 6.78982735e-02]],
  343.  
  344. [[ 1.02669917e-01, 7.37797543e-02, -1.15617797e-01],
  345. [-1.76185947e-02, 1.66572720e-01, 7.67681971e-02],
  346. [ 1.90740563e-02, -2.33248416e-02, 3.32102627e-02]],
  347.  
  348. ...,
  349.  
  350. [[ 5.48820384e-02, -1.18837886e-01, -2.66089410e-01],
  351. [-4.33927961e-02, 1.01044439e-02, 7.81406313e-02],
  352. [-1.04066525e-02, 9.72631797e-02, -4.62177731e-02]],
  353.  
  354. [[ 8.94548595e-02, -9.76651162e-02, -8.40776041e-02],
  355. [-1.39143601e-01, -4.79117334e-02, 3.76782902e-02],
  356. [-1.33301437e-01, -2.28128478e-01, -2.12328285e-01]],
  357.  
  358. [[-1.17379420e-01, -1.41578829e-02, -4.84844372e-02],
  359. [-1.26718031e-02, -3.74209844e-02, 1.00299530e-01],
  360. [ 6.49211779e-02, 7.92088509e-02, -1.19383171e-01]]]],
  361. dtype=float32), array([-0.02743678, 0.0064136 , -0.02148197, -0.04264238, -0.03095781,
  362. -0.01378671, 0.03023863, 0.00374043, -0.04598723, -0.04419768,
  363. -0.0153496 , 0.0074946 , 0.00814055, 0.01049318, -0.03624127,
  364. -0.00493641, -0.0264374 , 0.0071721 , -0.04955563, -0.0379807 ,
  365. -0.0160841 , -0.02071063, -0.02901358, -0.02368227, -0.00832812,
  366. 0.00649407, 0.00194471, 0.01571163, -0.03171871, -0.02242849,
  367. 0.00725571, -0.03071411], dtype=float32)]
  368. []
  369. []
  370. []
  371. [array([[ 0.00815168, -0.02557546, -0.02788686, ..., -0.01569288,
  372. 0.0152639 , 0.02923259],
  373. [ 0.03406444, -0.01567611, -0.03011844, ..., 0.01081613,
  374. -0.02871161, -0.01586474],
  375. [-0.01394597, 0.01135072, 0.01614935, ..., -0.00813269,
  376. -0.03436898, -0.0027563 ],
  377. ...,
  378. [ 0.03012428, -0.0007912 , 0.00316904, ..., -0.01242973,
  379. -0.00979245, -0.01891783],
  380. [ 0.02287592, -0.01707423, -0.0151178 , ..., 0.00935076,
  381. -0.00448107, 0.02675929],
  382. [-0.00134754, 0.01897659, 0.01110731, ..., -0.01251439,
  383. 0.00204707, -0.02383208]], dtype=float32), array([ 0.01291791, -0.01611368, -0.05872589, 0.00969239, -0.01525268,
  384. -0.0440055 , -0.03846324, 0.00015428, -0.017678 , -0.02765441,
  385. -0.05763759, -0.02190734, -0.03736778, -0.04996415, 0.00014847,
  386. 0.00033647, -0.0327733 , -0.03361554, -0.04151916, 0.01021485,
  387. -0.05302477, -0.01673063, 0.00282102, -0.0218729 , -0.04898784,
  388. 0.01018967, -0.00418734, -0.01172585, -0.02248723, 0.00589995,
  389. -0.0214625 , -0.03117147, -0.03965234, -0.04007281, -0.03171056,
  390. -0.0107103 , -0.02273353, -0.02022875, -0.03339539, -0.02785615,
  391. -0.0129801 , -0.0378707 , 0.000717 , -0.01206726, -0.02316464,
  392. 0.01608746, -0.0653118 , 0.00416781, -0.0294462 , -0.03020998,
  393. -0.00853686, -0.01203934, -0.02408013, -0.06475527, -0.01116598,
  394. -0.01483296, -0.03554606, -0.02135817, -0.00492874, -0.0409372 ,
  395. -0.06601756, -0.03413999, -0.02071739, -0.04793712, -0.05612154,
  396. -0.03963546, -0.01001244, -0.05110076, -0.01209277, -0.01327986,
  397. -0.01878537, -0.03343062, -0.01397192, -0.00954338, -0.03077156,
  398. -0.04228279, -0.00180934, 0.00264064, -0.00227771, -0.02553995,
  399. -0.03101645, 0.02531291, -0.0118973 , -0.01992643, -0.0572357 ,
  400. -0.00388013, -0.05006015, -0.0034562 , -0.07631239, -0.00102795,
  401. -0.0189785 , -0.00127761, -0.00942975, -0.02389925, -0.03981125,
  402. -0.04500685, -0.01427857, 0.00688056, -0.01737484, -0.00710654,
  403. -0.05486462, -0.04568006, -0.05410031, -0.02874042, -0.0118308 ,
  404. -0.03548088, 0.00462223, -0.07951967, -0.03153335, -0.02162422,
  405. -0.00104359, -0.04893014, -0.00031316, -0.01240131, -0.02536447,
  406. -0.03595945, -0.00600472, -0.00021108, -0.02609218, -0.03892738,
  407. -0.05018377, -0.06270373, -0.02629877, -0.02588009, -0.02463793,
  408. -0.00830029, -0.03068862, -0.00635177], dtype=float32)]
  409. []
  410. [array([[-0.22294168, 0.16472656, -0.20760794, ..., -0.29669467,
  411. -0.20647448, -0.00237487],
  412. [ 0.11112173, -0.07298024, 0.1263329 , ..., 0.16448805,
  413. -0.21744893, -0.21255432],
  414. [-0.04881252, -0.08479621, 0.07850827, ..., -0.05121636,
  415. 0.14358447, 0.13019344],
  416. ...,
  417. [-0.20977515, 0.19680858, -0.11731596, ..., -0.19713129,
  418. -0.2711569 , 0.15835182],
  419. [ 0.09318311, -0.03883193, 0.00718685, ..., -0.00452011,
  420. 0.10841092, 0.11810151],
  421. [ 0.00539326, 0.17449129, 0.14923239, ..., -0.08515216,
  422. -0.14880708, -0.173281 ]], dtype=float32), array([-0.04242039, 0.04178922, -0.03102371, 0.03539446, -0.03191667,
  423. -0.04334453, -0.13229504, -0.01163885, 0.03705839, 0.08497411],
  424. dtype=float32)]
  425. []
  426. Loaded model test accuracy: 99.08%
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