 CNN卷积算法应用---手写数字识别
 

%E7%AC%AC%E4%B8%80%E6%AC%A1%E8%AE%AD%E7%BB%83%E7%BB%93%E6%9E%9C

2019-04-08 23:19:15.612675: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
Step=0, Train loss 2.2813, [Test accuracy=0.11]
Step=100, Train loss 2.3031, [Test accuracy=0.11]
Step=200, Train loss 2.2781, [Test accuracy=0.11]
Step=300, Train loss 2.2873, [Test accuracy=0.11]
Step=400, Train loss 2.2738, [Test accuracy=0.12]
Step=500, Train loss 2.2721, [Test accuracy=0.12]
Step=600, Train loss 2.2642, [Test accuracy=0.12]
Step=700, Train loss 2.2658, [Test accuracy=0.13]
Step=800, Train loss 2.2625, [Test accuracy=0.13]
Step=900, Train loss 2.2572, [Test accuracy=0.14]
Step=1000, Train loss 2.2553, [Test accuracy=0.15]
Step=1100, Train loss 2.2357, [Test accuracy=0.16]
Step=1200, Train loss 2.2477, [Test accuracy=0.16]
Step=1300, Train loss 2.2427, [Test accuracy=0.17]
Step=1400, Train loss 2.2290, [Test accuracy=0.18]
Step=1500, Train loss 2.2238, [Test accuracy=0.19]
Step=1600, Train loss 2.2411, [Test accuracy=0.20]
Step=1700, Train loss 2.2149, [Test accuracy=0.21]
Step=1800, Train loss 2.2246, [Test accuracy=0.21]
Step=1900, Train loss 2.2245, [Test accuracy=0.22]
Step=2000, Train loss 2.1923, [Test accuracy=0.23]
Step=2100, Train loss 2.1959, [Test accuracy=0.24]
Step=2200, Train loss 2.1859, [Test accuracy=0.25]
Step=2300, Train loss 2.1798, [Test accuracy=0.26]
Step=2400, Train loss 2.1920, [Test accuracy=0.27]
Step=2500, Train loss 2.1592, [Test accuracy=0.28]
Step=2600, Train loss 2.1667, [Test accuracy=0.29]
Step=2700, Train loss 2.1479, [Test accuracy=0.30]
Step=2800, Train loss 2.1678, [Test accuracy=0.31]
Step=2900, Train loss 2.1243, [Test accuracy=0.31]
Step=3000, Train loss 2.1626, [Test accuracy=0.32]
Step=3100, Train loss 2.1246, [Test accuracy=0.33]
Step=3200, Train loss 2.1905, [Test accuracy=0.34]
Step=3300, Train loss 2.1070, [Test accuracy=0.34]
Step=3400, Train loss 2.1406, [Test accuracy=0.35]
Step=3500, Train loss 2.1202, [Test accuracy=0.36]
Step=3600, Train loss 2.1157, [Test accuracy=0.37]
Step=3700, Train loss 2.1104, [Test accuracy=0.37]
Step=3800, Train loss 2.0860, [Test accuracy=0.38]
Step=3900, Train loss 2.0796, [Test accuracy=0.38]
Step=4000, Train loss 2.1003, [Test accuracy=0.39]
Step=4100, Train loss 2.0525, [Test accuracy=0.40]
Step=4200, Train loss 2.0745, [Test accuracy=0.40]
Step=4300, Train loss 2.0748, [Test accuracy=0.41]
Step=4400, Train loss 2.0282, [Test accuracy=0.41]
Step=4500, Train loss 2.0129, [Test accuracy=0.42]
Step=4600, Train loss 2.0017, [Test accuracy=0.42]
Step=4700, Train loss 2.0520, [Test accuracy=0.43]
Step=4800, Train loss 1.9970, [Test accuracy=0.43]
Step=4900, Train loss 1.9928, [Test accuracy=0.44]
Step=5000, Train loss 1.9917, [Test accuracy=0.44]
Step=5100, Train loss 2.0629, [Test accuracy=0.45]
Step=5200, Train loss 1.9527, [Test accuracy=0.45]
Step=5300, Train loss 1.9951, [Test accuracy=0.45]
Step=5400, Train loss 1.9347, [Test accuracy=0.46]
Step=5500, Train loss 1.9568, [Test accuracy=0.46]
Step=5600, Train loss 1.9370, [Test accuracy=0.47]
Step=5700, Train loss 1.8849, [Test accuracy=0.47]
Step=5800, Train loss 1.8874, [Test accuracy=0.47]
Step=5900, Train loss 1.8784, [Test accuracy=0.48]
Step=6000, Train loss 1.8569, [Test accuracy=0.48]
Step=6100, Train loss 1.8644, [Test accuracy=0.48]
Step=6200, Train loss 1.8431, [Test accuracy=0.49]
Step=6300, Train loss 1.8881, [Test accuracy=0.49]
Step=6400, Train loss 1.8967, [Test accuracy=0.49]
Step=6500, Train loss 1.8639, [Test accuracy=0.50]
Step=6600, Train loss 1.8000, [Test accuracy=0.50]
Step=6700, Train loss 1.7022, [Test accuracy=0.50]
Step=6800, Train loss 1.8164, [Test accuracy=0.51]
Step=6900, Train loss 1.7561, [Test accuracy=0.51]
Step=7000, Train loss 1.8065, [Test accuracy=0.51]
Step=7100, Train loss 1.6552, [Test accuracy=0.51]
Step=7200, Train loss 1.8081, [Test accuracy=0.52]
Step=7300, Train loss 1.6507, [Test accuracy=0.52]
Step=7400, Train loss 1.7181, [Test accuracy=0.52]
Step=7500, Train loss 1.5552, [Test accuracy=0.52]
Step=7600, Train loss 1.6751, [Test accuracy=0.53]
Step=7700, Train loss 1.7045, [Test accuracy=0.53]
Step=7800, Train loss 1.6408, [Test accuracy=0.53]
Step=7900, Train loss 1.5809, [Test accuracy=0.53]
Step=8000, Train loss 1.5421, [Test accuracy=0.54]
Step=8100, Train loss 1.5781, [Test accuracy=0.54]
Step=8200, Train loss 1.5833, [Test accuracy=0.54]
Step=8300, Train loss 1.6290, [Test accuracy=0.54]
Step=8400, Train loss 1.5814, [Test accuracy=0.54]
Step=8500, Train loss 1.5904, [Test accuracy=0.55]
Step=8600, Train loss 1.4305, [Test accuracy=0.55]
Step=8700, Train loss 1.4242, [Test accuracy=0.55]
Step=8800, Train loss 1.4450, [Test accuracy=0.55]
Step=8900, Train loss 1.4902, [Test accuracy=0.55]
Step=9000, Train loss 1.3532, [Test accuracy=0.56]
Step=9100, Train loss 1.5387, [Test accuracy=0.56]
Step=9200, Train loss 1.4777, [Test accuracy=0.56]
Step=9300, Train loss 1.3645, [Test accuracy=0.56]
Step=9400, Train loss 1.4814, [Test accuracy=0.56]
Step=9500, Train loss 1.2773, [Test accuracy=0.57]
Step=9600, Train loss 1.2888, [Test accuracy=0.57]
Step=9700, Train loss 1.2559, [Test accuracy=0.57]
Step=9800, Train loss 1.3809, [Test accuracy=0.57]
Step=9900, Train loss 1.3076, [Test accuracy=0.57]
Step=10000, Train loss 1.2272, [Test accuracy=0.57]
Step=10100, Train loss 1.2735, [Test accuracy=0.58]
Step=10200, Train loss 1.3744, [Test accuracy=0.58]
Step=10300, Train loss 1.2355, [Test accuracy=0.58]
Step=10400, Train loss 1.2751, [Test accuracy=0.58]
Step=10500, Train loss 1.2606, [Test accuracy=0.58]
Step=10600, Train loss 1.2772, [Test accuracy=0.58]
Step=10700, Train loss 1.0783, [Test accuracy=0.58]
Step=10800, Train loss 1.2579, [Test accuracy=0.59]
Step=10900, Train loss 1.1106, [Test accuracy=0.59]
Step=11000, Train loss 1.1114, [Test accuracy=0.59]
Step=11100, Train loss 1.0395, [Test accuracy=0.59]
Step=11200, Train loss 1.1954, [Test accuracy=0.59]
Step=11300, Train loss 1.1301, [Test accuracy=0.59]
Step=11400, Train loss 1.0904, [Test accuracy=0.59]
Step=11500, Train loss 1.1262, [Test accuracy=0.60]
Step=11600, Train loss 1.0275, [Test accuracy=0.60]
Step=11700, Train loss 1.0362, [Test accuracy=0.60]
Step=11800, Train loss 1.1332, [Test accuracy=0.60]
Step=11900, Train loss 1.0920, [Test accuracy=0.60]
Step=12000, Train loss 1.0838, [Test accuracy=0.60]
Step=12100, Train loss 1.0814, [Test accuracy=0.60]
Step=12200, Train loss 1.0035, [Test accuracy=0.61]
Step=12300, Train loss 0.9431, [Test accuracy=0.61]
Step=12400, Train loss 0.9082, [Test accuracy=0.61]
Step=12500, Train loss 1.0035, [Test accuracy=0.61]
Step=12600, Train loss 1.0634, [Test accuracy=0.61]
Step=12700, Train loss 1.0094, [Test accuracy=0.61]
Step=12800, Train loss 0.9659, [Test accuracy=0.61]
Step=12900, Train loss 0.9629, [Test accuracy=0.61]
Step=13000, Train loss 1.0545, [Test accuracy=0.61]
Step=13100, Train loss 0.9411, [Test accuracy=0.62]
Step=13200, Train loss 0.9160, [Test accuracy=0.62]
Step=13300, Train loss 0.9908, [Test accuracy=0.62]
Step=13400, Train loss 0.8896, [Test accuracy=0.62]
Step=13500, Train loss 0.9729, [Test accuracy=0.62]
Step=13600, Train loss 0.8407, [Test accuracy=0.62]
Step=13700, Train loss 0.9049, [Test accuracy=0.62]
Step=13800, Train loss 0.8899, [Test accuracy=0.62]
Step=13900, Train loss 0.7497, [Test accuracy=0.63]
Step=14000, Train loss 0.7797, [Test accuracy=0.63]
Step=14100, Train loss 0.9527, [Test accuracy=0.63]
Step=14200, Train loss 0.8519, [Test accuracy=0.63]
Step=14300, Train loss 0.8380, [Test accuracy=0.63]
Step=14400, Train loss 0.9387, [Test accuracy=0.63]
Step=14500, Train loss 0.8853, [Test accuracy=0.63]
Step=14600, Train loss 0.9766, [Test accuracy=0.63]
Step=14700, Train loss 0.7800, [Test accuracy=0.63]
Step=14800, Train loss 0.7869, [Test accuracy=0.63]
Step=14900, Train loss 0.7541, [Test accuracy=0.64]
Step=15000, Train loss 0.6930, [Test accuracy=0.64]
Step=15100, Train loss 0.7822, [Test accuracy=0.64]
Step=15200, Train loss 0.5724, [Test accuracy=0.64]
Step=15300, Train loss 0.8034, [Test accuracy=0.64]
Step=15400, Train loss 0.7401, [Test accuracy=0.64]
Step=15500, Train loss 0.6511, [Test accuracy=0.64]
Step=15600, Train loss 0.7475, [Test accuracy=0.64]
Step=15700, Train loss 0.6257, [Test accuracy=0.64]
Step=15800, Train loss 0.6500, [Test accuracy=0.64]
Step=15900, Train loss 0.8099, [Test accuracy=0.65]
Step=16000, Train loss 0.7678, [Test accuracy=0.65]
Step=16100, Train loss 0.6848, [Test accuracy=0.65]
Step=16200, Train loss 0.7696, [Test accuracy=0.65]
Step=16300, Train loss 0.6796, [Test accuracy=0.65]
Step=16400, Train loss 0.6463, [Test accuracy=0.65]
Step=16500, Train loss 0.5974, [Test accuracy=0.65]
Step=16600, Train loss 0.5641, [Test accuracy=0.65]
Step=16700, Train loss 0.6629, [Test accuracy=0.65]
Step=16800, Train loss 0.6367, [Test accuracy=0.65]
Step=16900, Train loss 0.6998, [Test accuracy=0.65]
Step=17000, Train loss 0.6572, [Test accuracy=0.66]
Step=17100, Train loss 0.6747, [Test accuracy=0.66]
Step=17200, Train loss 0.6952, [Test accuracy=0.66]
Step=17300, Train loss 0.6595, [Test accuracy=0.66]
Step=17400, Train loss 0.6829, [Test accuracy=0.66]
Step=17500, Train loss 0.5405, [Test accuracy=0.66]
Step=17600, Train loss 0.5021, [Test accuracy=0.66]
Step=17700, Train loss 0.6092, [Test accuracy=0.66]
Step=17800, Train loss 0.6089, [Test accuracy=0.66]
Step=17900, Train loss 0.5134, [Test accuracy=0.66]
Step=18000, Train loss 0.7306, [Test accuracy=0.66]
Step=18100, Train loss 0.6882, [Test accuracy=0.66]
Step=18200, Train loss 0.5175, [Test accuracy=0.67]
Step=18300, Train loss 0.8006, [Test accuracy=0.67]
Step=18400, Train loss 0.6173, [Test accuracy=0.67]
Step=18500, Train loss 0.5891, [Test accuracy=0.67]
Step=18600, Train loss 0.6530, [Test accuracy=0.67]
Step=18700, Train loss 0.6512, [Test accuracy=0.67]
Step=18800, Train loss 0.7249, [Test accuracy=0.67]
Step=18900, Train loss 0.6491, [Test accuracy=0.67]
Step=19000, Train loss 0.5157, [Test accuracy=0.67]
Step=19100, Train loss 0.5474, [Test accuracy=0.67]
Step=19200, Train loss 0.7605, [Test accuracy=0.67]
Step=19300, Train loss 0.5928, [Test accuracy=0.67]
Step=19400, Train loss 0.6040, [Test accuracy=0.68]
Step=19500, Train loss 0.5252, [Test accuracy=0.68]
Step=19600, Train loss 0.5454, [Test accuracy=0.68]
Step=19700, Train loss 0.6826, [Test accuracy=0.68]
Step=19800, Train loss 0.6446, [Test accuracy=0.68]
Step=19900, Train loss 0.6252, [Test accuracy=0.68]
(array([7, 2, 1, 0, 4, 1, 4, 9, 5, 7, 0, 6, 9, 0, 1, 3, 9, 7, 3, 4]), 'Inferenced number')
(array([7, 2, 1, 0, 4, 1, 4, 9, 5, 9, 0, 6, 9, 0, 1, 5, 9, 7, 3, 4]), 'Real numbers')

%E7%AC%AC%E4%BA%8C%E6%AC%A1%E8%AE%AD%E7%BB%83%E7%BB%93%E6%9E%9C

2019-04-09 08:40:56.587799: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
Step=0, Train loss 2.3148, [Test accuracy=0.08]
Step=100, Train loss 2.2923, [Test accuracy=0.09]
Step=200, Train loss 2.2934, [Test accuracy=0.09]
Step=300, Train loss 2.3009, [Test accuracy=0.10]
Step=400, Train loss 2.2897, [Test accuracy=0.10]
Step=500, Train loss 2.2656, [Test accuracy=0.11]
Step=600, Train loss 2.2894, [Test accuracy=0.12]
Step=700, Train loss 2.2533, [Test accuracy=0.13]
Step=800, Train loss 2.2581, [Test accuracy=0.14]
Step=900, Train loss 2.2675, [Test accuracy=0.15]
Step=1000, Train loss 2.2219, [Test accuracy=0.16]
Step=1100, Train loss 2.2233, [Test accuracy=0.17]
Step=1200, Train loss 2.2178, [Test accuracy=0.17]
Step=1300, Train loss 2.2054, [Test accuracy=0.18]
Step=1400, Train loss 2.2117, [Test accuracy=0.19]
Step=1500, Train loss 2.2035, [Test accuracy=0.19]
Step=1600, Train loss 2.1975, [Test accuracy=0.20]
Step=1700, Train loss 2.2037, [Test accuracy=0.21]
Step=1800, Train loss 2.1632, [Test accuracy=0.22]
Step=1900, Train loss 2.1828, [Test accuracy=0.23]
Step=2000, Train loss 2.1722, [Test accuracy=0.24]
Step=2100, Train loss 2.1511, [Test accuracy=0.25]
Step=2200, Train loss 2.1437, [Test accuracy=0.26]
Step=2300, Train loss 2.1391, [Test accuracy=0.27]
Step=2400, Train loss 2.1258, [Test accuracy=0.28]
Step=2500, Train loss 2.0896, [Test accuracy=0.29]
Step=2600, Train loss 2.1131, [Test accuracy=0.29]
Step=2700, Train loss 2.1314, [Test accuracy=0.30]
Step=2800, Train loss 2.0813, [Test accuracy=0.31]
Step=2900, Train loss 2.0679, [Test accuracy=0.32]
Step=3000, Train loss 2.0668, [Test accuracy=0.33]
Step=3100, Train loss 2.0842, [Test accuracy=0.34]
Step=3200, Train loss 2.0190, [Test accuracy=0.35]
Step=3300, Train loss 2.0651, [Test accuracy=0.36]
Step=3400, Train loss 2.0396, [Test accuracy=0.36]
Step=3500, Train loss 1.9885, [Test accuracy=0.37]
Step=3600, Train loss 2.0101, [Test accuracy=0.38]
Step=3700, Train loss 2.0199, [Test accuracy=0.38]
Step=3800, Train loss 1.9615, [Test accuracy=0.39]
Step=3900, Train loss 1.9926, [Test accuracy=0.40]
Step=4000, Train loss 1.9363, [Test accuracy=0.40]
Step=4100, Train loss 1.9899, [Test accuracy=0.41]
Step=4200, Train loss 1.9190, [Test accuracy=0.42]
Step=4300, Train loss 1.9396, [Test accuracy=0.42]
Step=4400, Train loss 1.9427, [Test accuracy=0.43]
Step=4500, Train loss 1.9043, [Test accuracy=0.43]
Step=4600, Train loss 1.8483, [Test accuracy=0.44]
Step=4700, Train loss 1.8060, [Test accuracy=0.44]
Step=4800, Train loss 1.8471, [Test accuracy=0.45]
Step=4900, Train loss 1.8315, [Test accuracy=0.45]
Step=5000, Train loss 1.8453, [Test accuracy=0.46]
Step=5100, Train loss 1.8163, [Test accuracy=0.46]
Step=5200, Train loss 1.8320, [Test accuracy=0.47]
Step=5300, Train loss 1.7893, [Test accuracy=0.47]
Step=5400, Train loss 1.7761, [Test accuracy=0.48]
Step=5500, Train loss 1.8425, [Test accuracy=0.48]
Step=5600, Train loss 1.6652, [Test accuracy=0.49]
Step=5700, Train loss 1.7719, [Test accuracy=0.49]
Step=5800, Train loss 1.7049, [Test accuracy=0.49]
Step=5900, Train loss 1.6755, [Test accuracy=0.50]
Step=6000, Train loss 1.7031, [Test accuracy=0.50]
Step=6100, Train loss 1.6324, [Test accuracy=0.51]
Step=6200, Train loss 1.6421, [Test accuracy=0.51]
Step=6300, Train loss 1.5846, [Test accuracy=0.51]
Step=6400, Train loss 1.6547, [Test accuracy=0.52]
Step=6500, Train loss 1.5695, [Test accuracy=0.52]
Step=6600, Train loss 1.5804, [Test accuracy=0.52]
Step=6700, Train loss 1.4638, [Test accuracy=0.53]
Step=6800, Train loss 1.5199, [Test accuracy=0.53]
Step=6900, Train loss 1.4701, [Test accuracy=0.53]
Step=7000, Train loss 1.5425, [Test accuracy=0.54]
Step=7100, Train loss 1.3779, [Test accuracy=0.54]
Step=7200, Train loss 1.4157, [Test accuracy=0.54]
Step=7300, Train loss 1.5467, [Test accuracy=0.54]
Step=7400, Train loss 1.4585, [Test accuracy=0.55]
Step=7500, Train loss 1.3431, [Test accuracy=0.55]
Step=7600, Train loss 1.3497, [Test accuracy=0.55]
Step=7700, Train loss 1.4380, [Test accuracy=0.56]
Step=7800, Train loss 1.2978, [Test accuracy=0.56]
Step=7900, Train loss 1.4230, [Test accuracy=0.56]
Step=8000, Train loss 1.3155, [Test accuracy=0.56]
Step=8100, Train loss 1.3197, [Test accuracy=0.57]
Step=8200, Train loss 1.2210, [Test accuracy=0.57]
Step=8300, Train loss 1.2729, [Test accuracy=0.57]
Step=8400, Train loss 1.2526, [Test accuracy=0.57]
Step=8500, Train loss 1.3113, [Test accuracy=0.57]
Step=8600, Train loss 1.3780, [Test accuracy=0.58]
Step=8700, Train loss 1.2157, [Test accuracy=0.58]
Step=8800, Train loss 1.1784, [Test accuracy=0.58]
Step=8900, Train loss 1.1506, [Test accuracy=0.58]
Step=9000, Train loss 1.2811, [Test accuracy=0.58]
Step=9100, Train loss 1.1113, [Test accuracy=0.59]
Step=9200, Train loss 1.1295, [Test accuracy=0.59]
Step=9300, Train loss 1.0563, [Test accuracy=0.59]
Step=9400, Train loss 1.0177, [Test accuracy=0.59]
Step=9500, Train loss 1.1110, [Test accuracy=0.59]
Step=9600, Train loss 1.0916, [Test accuracy=0.60]
Step=9700, Train loss 0.9696, [Test accuracy=0.60]
Step=9800, Train loss 0.9746, [Test accuracy=0.60]
Step=9900, Train loss 1.0771, [Test accuracy=0.60]
Step=10000, Train loss 0.9781, [Test accuracy=0.60]
Step=10100, Train loss 1.0835, [Test accuracy=0.61]
Step=10200, Train loss 0.8806, [Test accuracy=0.61]
Step=10300, Train loss 0.9874, [Test accuracy=0.61]
Step=10400, Train loss 0.9731, [Test accuracy=0.61]
Step=10500, Train loss 0.8721, [Test accuracy=0.61]
Step=10600, Train loss 1.0936, [Test accuracy=0.61]
Step=10700, Train loss 0.9463, [Test accuracy=0.62]
Step=10800, Train loss 0.7858, [Test accuracy=0.62]
Step=10900, Train loss 0.8480, [Test accuracy=0.62]
Step=11000, Train loss 0.8410, [Test accuracy=0.62]
Step=11100, Train loss 0.8659, [Test accuracy=0.62]
Step=11200, Train loss 0.8493, [Test accuracy=0.62]
Step=11300, Train loss 0.9000, [Test accuracy=0.62]
Step=11400, Train loss 0.9272, [Test accuracy=0.63]
Step=11500, Train loss 0.9105, [Test accuracy=0.63]
Step=11600, Train loss 0.8315, [Test accuracy=0.63]
Step=11700, Train loss 0.8366, [Test accuracy=0.63]
Step=11800, Train loss 0.8053, [Test accuracy=0.63]
Step=11900, Train loss 0.6086, [Test accuracy=0.63]
Step=12000, Train loss 0.8221, [Test accuracy=0.63]
Step=12100, Train loss 0.7653, [Test accuracy=0.64]
Step=12200, Train loss 0.8065, [Test accuracy=0.64]
Step=12300, Train loss 0.6832, [Test accuracy=0.64]
Step=12400, Train loss 0.6095, [Test accuracy=0.64]
Step=12500, Train loss 0.7203, [Test accuracy=0.64]
Step=12600, Train loss 0.6487, [Test accuracy=0.64]
Step=12700, Train loss 0.7637, [Test accuracy=0.64]
Step=12800, Train loss 0.7041, [Test accuracy=0.64]
Step=12900, Train loss 0.7909, [Test accuracy=0.65]
Step=13000, Train loss 0.8828, [Test accuracy=0.65]
Step=13100, Train loss 0.7742, [Test accuracy=0.65]
Step=13200, Train loss 0.8469, [Test accuracy=0.65]
Step=13300, Train loss 0.7029, [Test accuracy=0.65]
Step=13400, Train loss 0.7388, [Test accuracy=0.65]
Step=13500, Train loss 0.8402, [Test accuracy=0.65]
Step=13600, Train loss 0.6478, [Test accuracy=0.65]
Step=13700, Train loss 0.5573, [Test accuracy=0.65]
Step=13800, Train loss 0.6252, [Test accuracy=0.66]
Step=13900, Train loss 0.7683, [Test accuracy=0.66]
Step=14000, Train loss 0.7277, [Test accuracy=0.66]
Step=14100, Train loss 0.5684, [Test accuracy=0.66]
Step=14200, Train loss 0.5863, [Test accuracy=0.66]
Step=14300, Train loss 0.5832, [Test accuracy=0.66]
Step=14400, Train loss 0.6353, [Test accuracy=0.66]
Step=14500, Train loss 0.6373, [Test accuracy=0.66]
Step=14600, Train loss 0.6298, [Test accuracy=0.66]
Step=14700, Train loss 0.7557, [Test accuracy=0.67]
Step=14800, Train loss 0.5525, [Test accuracy=0.67]
Step=14900, Train loss 0.8053, [Test accuracy=0.67]
Step=15000, Train loss 0.6083, [Test accuracy=0.67]
Step=15100, Train loss 0.7324, [Test accuracy=0.67]
Step=15200, Train loss 0.6716, [Test accuracy=0.67]
Step=15300, Train loss 0.7126, [Test accuracy=0.67]
Step=15400, Train loss 0.6463, [Test accuracy=0.67]
Step=15500, Train loss 0.4643, [Test accuracy=0.67]
Step=15600, Train loss 0.5521, [Test accuracy=0.67]
Step=15700, Train loss 0.4718, [Test accuracy=0.68]
Step=15800, Train loss 0.7233, [Test accuracy=0.68]
Step=15900, Train loss 0.5656, [Test accuracy=0.68]
Step=16000, Train loss 0.5011, [Test accuracy=0.68]
Step=16100, Train loss 0.5589, [Test accuracy=0.68]
Step=16200, Train loss 0.7118, [Test accuracy=0.68]
Step=16300, Train loss 0.5716, [Test accuracy=0.68]
Step=16400, Train loss 0.7040, [Test accuracy=0.68]
Step=16500, Train loss 0.4227, [Test accuracy=0.68]
Step=16600, Train loss 0.5912, [Test accuracy=0.68]
Step=16700, Train loss 0.5880, [Test accuracy=0.68]
Step=16800, Train loss 0.6446, [Test accuracy=0.69]
Step=16900, Train loss 0.4991, [Test accuracy=0.69]
Step=17000, Train loss 0.5775, [Test accuracy=0.69]
Step=17100, Train loss 0.4997, [Test accuracy=0.69]
Step=17200, Train loss 0.5399, [Test accuracy=0.69]
Step=17300, Train loss 0.5468, [Test accuracy=0.69]
Step=17400, Train loss 0.6266, [Test accuracy=0.69]
Step=17500, Train loss 0.6187, [Test accuracy=0.69]
Step=17600, Train loss 0.7433, [Test accuracy=0.69]
Step=17700, Train loss 0.5406, [Test accuracy=0.69]
Step=17800, Train loss 0.4658, [Test accuracy=0.69]
Step=17900, Train loss 0.4208, [Test accuracy=0.69]
Step=18000, Train loss 0.6025, [Test accuracy=0.70]
Step=18100, Train loss 0.5632, [Test accuracy=0.70]
Step=18200, Train loss 0.6364, [Test accuracy=0.70]
Step=18300, Train loss 0.5322, [Test accuracy=0.70]
Step=18400, Train loss 0.3279, [Test accuracy=0.70]
Step=18500, Train loss 0.3585, [Test accuracy=0.70]
Step=18600, Train loss 0.6425, [Test accuracy=0.70]
Step=18700, Train loss 0.5665, [Test accuracy=0.70]
Step=18800, Train loss 0.7799, [Test accuracy=0.70]
Step=18900, Train loss 0.4460, [Test accuracy=0.70]
Step=19000, Train loss 0.5729, [Test accuracy=0.70]
Step=19100, Train loss 0.3911, [Test accuracy=0.70]
Step=19200, Train loss 0.6883, [Test accuracy=0.70]
Step=19300, Train loss 0.5041, [Test accuracy=0.71]
Step=19400, Train loss 0.4434, [Test accuracy=0.71]
Step=19500, Train loss 0.4908, [Test accuracy=0.71]
Step=19600, Train loss 0.5183, [Test accuracy=0.71]
Step=19700, Train loss 0.3817, [Test accuracy=0.71]
Step=19800, Train loss 0.5169, [Test accuracy=0.71]
Step=19900, Train loss 0.5105, [Test accuracy=0.71]
(array([7, 2, 1, 0, 4, 1, 4, 9, 5, 9, 0, 6, 9, 0, 1, 3, 9, 7, 3, 4]), 'Inferenced number')
(array([7, 2, 1, 0, 4, 1, 4, 9, 5, 9, 0, 6, 9, 0, 1, 5, 9, 7, 3, 4]), 'Real numbers')

(array([7, 2, 1, 0, 4, 1, 4, 9, 5, 9, 0, 6, 9, 0, 1, 5, 9, 7, 3, 4]), 'Real numbers')

CNN卷积算法应用---手写数字识别
 
第一次训练结果
2019-04-08 23:19:15.612675: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
Step=0, Train loss 2.2813, [Test accuracy=0

CNN卷积算法应用---手写数字识别的两次训练结果展示

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CNN卷积算法应用---手写数字识别
 
第一次训练结果
2019-04-08 23:19:15.612675: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlo...

CNN卷积算法应用---手写数字识别的两次训练结果展示

CNN卷积算法应用---手写数字识别的两次训练结果展示

第一次训练结果

第二次训练结果

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