基于Python卷积神经网络实现MNIST手写数字数据集识别+GUI界面（源码+图片+说明文档）.rar

layer_conv1/kernel:0 (3, 3, 1, 16) [[[[ 0.19079456 -0.11935392 0.01827404 0.03534669 0.08175456 -0.26504472 0.04602234 0.15721294 0.0834185 0.00747245 0.10124385 0.20447347 0.09270484 -0.17645346 0.0654964 -0.24005693]] [[-0.09865127 -0.03725911 -0.24495104 0.12709492 0.13982102 -0.21467084 0.01166261 -0.05979944 0.22138225 -0.0537721 -0.11440884 0.14636974 0.09651901 0.07860336 -0.18219343 0.04622283]] [[ 0.18044539 0.00896944 -0.20646308 0.19702072 0.09635533 -0.09918062 0.14937682 0.08088918 -0.1777894 -0.0197069 -0.28614923 0.06650795 -0.15153098 -0.01970377 0.10244253 0.11767647]]] [[[ 0.17506152 -0.00803832 -0.08302027 -0.11552228 -0.02856409 -0.2791661 0.17778288 0.08492113 0.08712561 0.00937443 -0.22225027 -0.06270896 0.01292057 0.01085572 -0.0965425 -0.18938683]] [[-0.01179684 -0.2923724 -0.01365928 -0.12939315 0.18654001 0.17855607 -0.0299122 -0.16119473 -0.1562763 -0.08723367 -0.20735273 -0.00804316 0.16002087 0.22261178 0.01916816 0.09231015]] [[ 0.25273755 -0.12297519 0.05716383 -0.02732531 -0.16131254 0.08837262 -0.15215306 -0.18947397 -0.12660125 -0.09128575 -0.16414164 0.0672174 -0.22374235 0.19373287 0.13326228 0.12011557]]] [[[ 0.08783463 0.20933427 0.04604363 -0.27820867 -0.08836034 -0.20132285 0.09772347 0.05931635 -0.08460416 -0.06418367 -0.03713958 -0.1730237 0.20589526 -0.10487798 0.17618339 -0.2849516 ]] [[ 0.1004685 0.08241261 0.1980657 -0.04394462 -0.09584279 0.1518493 -0.33288682 0.2196254 0.08203406 -0.12234075 0.23026432 -0.21685113 -0.02847906 -0.1339526 -0.13134746 -0.17207092]] [[-0.13255514 -0.2372462 0.15600412 -0.25085127 -0.126152 -0.08097444 -0.04333071 0.0457732 -0.2482553 -0.16906182 -0.15885678 -0.20895125 -0.15603048 0.19307202 -0.11335728 -0.06570836]]]] layer_conv1/bias:0 (16,) [ 0.02299216 0.03938265 0.12989168 -0.02312959 0.05352145 0.03135153 -0.07260437 -0.10728985 0.03198009 -0.0195392 0.0014554 0.07545826 -0.05762949 -0.07170014 -0.03061173 0.02570558] batch_normalization/gamma:0 (16,) [0.80877 1.1355021 1.1839639 1.039657 0.8212097 0.99801046 0.99591714 0.7994765 0.9515194 0.98896337 1.0927997 1.0323074 1.0127099 0.9758088 0.8134992 1.0666255 ] batch_normalization/beta:0 (16,) [ 0.19829497 0.09481718 -0.04705082 0.12696312 0.06417408 0.02056652 0.26196364 0.10989418 0.14412326 -0.37279567 0.06975264 0.02916087 0.15539157 0.13800254 -0.04976609 -0.0585303 ] layer_conv2/kernel:0 (3, 3, 16, 36) [[[[-3.38226967e-02 9.21462327e-02 9.80136767e-02 6.11188971e-02 -2.13283580e-02 -2.03507334e-01 -1.35412067e-01 -1.51517943e-01 -3.62435021e-02 -6.75653815e-02 9.08772796e-02 -1.03416108e-01 9.85289589e-02 1.14357159e-01 -1.07032210e-01 -1.29340886e-04 -1.57490879e-01 6.38832897e-02 -1.32728368e-01 -7.70946294e-02 -9.52278078e-02 -1.15008667e-01 8.65219608e-02 6.51631728e-02 -1.39357736e-02 4.39101644e-02 1.33207902e-01 -3.50508913e-02 -1.17531553e-01 -2.00377125e-02 -1.49119738e-02 -9.28977132e-02 2.58347159e-03 -1.33695334e-01 1.29354075e-01 2.44076066e-02] [-5.04064374e-02 1.03235587e-01 -1.40409082e-01 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