001 00001 |Loss: 2.346 | Acc: 10.938%
001 00002 |Loss: 2.671 | Acc: 11.328%
001 00003 |Loss: 2.886 | Acc: 13.542%
001 00004 |Loss: 3.517 | Acc: 12.891%
001 00005 |Loss: 3.538 | Acc: 14.062%
001 00006 |Loss: 3.614 | Acc: 13.021%
001 00007 |Loss: 3.538 | Acc: 13.393%
001 00008 |Loss: 3.573 | Acc: 13.477%
001 00009 |Loss: 3.530 | Acc: 14.062%
001 00010 |Loss: 3.476 | Acc: 14.219%
001 00011 |Loss: 3.414 | Acc: 14.276%
001 00012 |Loss: 3.375 | Acc: 14.974%
001 00013 |Loss: 3.347 | Acc: 14.663%
001 00014 |Loss: 3.287 | Acc: 15.011%
001 00015 |Loss: 3.272 | Acc: 15.104%
001 00016 |Loss: 3.243 | Acc: 15.137%
001 00017 |Loss: 3.204 | Acc: 15.028%
001 00018 |Loss: 3.174 | Acc: 15.104%
001 00019 |Loss: 3.136 | Acc: 15.502%
001 00020 |Loss: 3.114 | Acc: 15.703%
001 00021 |Loss: 3.083 | Acc: 15.848%
001 00022 |Loss: 3.067 | Acc: 15.838%
001 00023 |Loss: 3.028 | Acc: 16.135%
001 00024 |Loss: 3.000 | Acc: 16.341%
001 00025 |Loss: 2.963 | Acc: 16.500%
001 00026 |Loss: 2.940 | Acc: 16.617%
001 00027 |Loss: 2.913 | Acc: 16.753%
001 00028 |Loss: 2.887 | Acc: 16.797%
001 00029 |Loss: 2.866 | Acc: 16.810%
001 00030 |Loss: 2.843 | Acc: 16.771%
001 00031 |Loss: 2.818 | Acc: 16.935%
001 00032 |Loss: 2.794 | Acc: 17.065%
001 00033 |Loss: 2.781 | Acc: 17.235%
001 00034 |Loss: 2.760 | Acc: 17.325%
001 00035 |Loss: 2.740 | Acc: 17.299%
001 00036 |Loss: 2.729 | Acc: 17.209%
001 00037 |Loss: 2.716 | Acc: 17.293%
001 00038 |Loss: 2.700 | Acc: 17.434%
001 00039 |Loss: 2.683 | Acc: 17.588%
001 00040 |Loss: 2.672 | Acc: 17.559%
001 00041 |Loss: 2.658 | Acc: 17.626%
001 00042 |Loss: 2.646 | Acc: 17.671%
001 00043 |Loss: 2.629 | Acc: 17.951%
001 00044 |Loss: 2.616 | Acc: 18.058%
001 00045 |Loss: 2.605 | Acc: 18.003%
001 00046 |Loss: 2.596 | Acc: 18.088%
001 00047 |Loss: 2.585 | Acc: 18.301%
001 00048 |Loss: 2.573 | Acc: 18.571%
001 00049 |Loss: 2.564 | Acc: 18.622%
001 00050 |Loss: 2.557 | Acc: 18.766%
001 00051 |Loss: 2.548 | Acc: 18.658%
001 00052 |Loss: 2.538 | Acc: 18.765%
001 00053 |Loss: 2.527 | Acc: 18.956%
001 00054 |Loss: 2.522 | Acc: 18.822%
001 00055 |Loss: 2.514 | Acc: 18.849%
001 00056 |Loss: 2.509 | Acc: 18.834%
001 00057 |Loss: 2.502 | Acc: 18.914%
001 00058 |Loss: 2.493 | Acc: 19.006%
001 00059 |Loss: 2.487 | Acc: 18.922%
001 00060 |Loss: 2.479 | Acc: 18.958%
001 00061 |Loss: 2.470 | Acc: 19.160%
001 00062 |Loss: 2.464 | Acc: 19.216%
001 00063 |Loss: 2.457 | Acc: 19.283%
001 00064 |Loss: 2.448 | Acc: 19.348%
001 00065 |Loss: 2.442 | Acc: 19.315%
001 00066 |Loss: 2.434 | Acc: 19.354%
001 00067 |Loss: 2.430 | Acc: 19.438%
001 00068 |Loss: 2.423 | Acc: 19.451%
001 00069 |Loss: 2.416 | Acc: 19.622%
001 00070 |Loss: 2.409 | Acc: 19.699%
001 00071 |Loss: 2.402 | Acc: 19.861%
001 00072 |Loss: 2.396 | Acc: 19.933%
001 00073 |Loss: 2.389 | Acc: 19.981%
001 00074 |Loss: 2.386 | Acc: 19.954%
001 00075 |Loss: 2.382 | Acc: 19.948%
001 00076 |Loss: 2.376 | Acc: 20.066%
001 00077 |Loss: 2.371 | Acc: 20.140%
001 00078 |Loss: 2.366 | Acc: 20.182%
001 00079 |Loss: 2.361 | Acc: 20.243%
001 00080 |Loss: 2.358 | Acc: 20.312%
001 00081 |Loss: 2.354 | Acc: 20.370%
001 00082 |Loss: 2.349 | Acc: 20.427%
001 00083 |Loss: 2.344 | Acc: 20.482%
001 00084 |Loss: 2.340 | Acc: 20.480%
001 00085 |Loss: 2.338 | Acc: 20.533%
001 00086 |Loss: 2.335 | Acc: 20.621%
001 00087 |Loss: 2.331 | Acc: 20.600%
001 00088 |Loss: 2.327 | Acc: 20.570%
001 00089 |Loss: 2.323 | Acc: 20.734%
001 00090 |Loss: 2.319 | Acc: 20.773%
001 00091 |Loss: 2.315 | Acc: 20.802%
001 00092 |Loss: 2.313 | Acc: 20.864%
001 00093 |Loss: 2.313 | Acc: 20.909%
001 00094 |Loss: 2.307 | Acc: 21.036%
001 00095 |Loss: 2.304 | Acc: 21.020%
001 00096 |Loss: 2.299 | Acc: 21.134%
001 00097 |Loss: 2.296 | Acc: 21.166%
001 00098 |Loss: 2.292 | Acc: 21.285%
001 00099 |Loss: 2.289 | Acc: 21.307%
001 00100 |Loss: 2.286 | Acc: 21.312%
001 00101 |Loss: 2.282 | Acc: 21.303%
001 00102 |Loss: 2.279 | Acc: 21.331%
001 00103 |Loss: 2.276 | Acc: 21.382%
001 00104 |Loss: 2.271 | Acc: 21.462%
001 00105 |Loss: 2.268 | Acc: 21.451%
001 00106 |Loss: 2.265 | Acc: 21.477%
001 00107 |Loss: 2.262 | Acc: 21.568%
001 00108 |Loss: 2.260 | Acc: 21.593%
001 00109 |Loss: 2.257 | Acc: 21.660%
001 00110 |Loss: 2.254 | Acc: 21.719%
001 00111 |Loss: 2.251 | Acc: 21.734%
001 00112 |Loss: 2.247 | Acc: 21.735%
001 00113 |Loss: 2.244 | Acc: 21.778%
001 00114 |Loss: 2.241 | Acc: 21.779%
001 00115 |Loss: 2.238 | Acc: 21.827%
001 00116 |Loss: 2.236 | Acc: 21.841%
001 00117 |Loss: 2.233 | Acc: 21.888%
001 00118 |Loss: 2.230 | Acc: 21.862%
001 00119 |Loss: 2.227 | Acc: 21.941%
001 00120 |Loss: 2.224 | Acc: 21.992%
001 00121 |Loss: 2.222 | Acc: 21.965%
001 00122 |Loss: 2.219 | Acc: 22.003%
001 00123 |Loss: 2.215 | Acc: 22.104%
001 00124 |Loss: 2.212 | Acc: 22.190%
001 00125 |Loss: 2.209 | Acc: 22.219%
001 00126 |Loss: 2.207 | Acc: 22.290%
001 00127 |Loss: 2.204 | Acc: 22.355%
001 00128 |Loss: 2.200 | Acc: 22.430%
001 00129 |Loss: 2.196 | Acc: 22.493%
001 00130 |Loss: 2.194 | Acc: 22.578%
001 00131 |Loss: 2.190 | Acc: 22.626%
001 00132 |Loss: 2.187 | Acc: 22.704%
001 00133 |Loss: 2.184 | Acc: 22.733%
001 00134 |Loss: 2.180 | Acc: 22.831%
001 00135 |Loss: 2.178 | Acc: 22.882%
001 00136 |Loss: 2.175 | Acc: 22.955%
001 00137 |Loss: 2.173 | Acc: 22.993%
001 00138 |Loss: 2.169 | Acc: 23.070%
001 00139 |Loss: 2.167 | Acc: 23.078%
001 00140 |Loss: 2.164 | Acc: 23.108%
001 00141 |Loss: 2.161 | Acc: 23.144%
001 00142 |Loss: 2.159 | Acc: 23.184%
001 00143 |Loss: 2.156 | Acc: 23.214%
001 00144 |Loss: 2.155 | Acc: 23.269%
001 00145 |Loss: 2.152 | Acc: 23.292%
001 00146 |Loss: 2.151 | Acc: 23.320%
001 00147 |Loss: 2.148 | Acc: 23.368%
001 00148 |Loss: 2.147 | Acc: 23.422%
001 00149 |Loss: 2.144 | Acc: 23.495%
001 00150 |Loss: 2.142 | Acc: 23.521%
001 00151 |Loss: 2.140 | Acc: 23.577%
001 00152 |Loss: 2.138 | Acc: 23.664%
001 00153 |Loss: 2.136 | Acc: 23.693%
001 00154 |Loss: 2.134 | Acc: 23.711%
001 00155 |Loss: 2.132 | Acc: 23.720%
001 00156 |Loss: 2.131 | Acc: 23.758%
001 00157 |Loss: 2.128 | Acc: 23.821%
001 00158 |Loss: 2.127 | Acc: 23.873%
001 00159 |Loss: 2.125 | Acc: 23.914%
001 00160 |Loss: 2.124 | Acc: 23.936%
001 00161 |Loss: 2.121 | Acc: 23.996%
001 00162 |Loss: 2.119 | Acc: 24.069%
001 00163 |Loss: 2.117 | Acc: 24.075%
001 00164 |Loss: 2.115 | Acc: 24.128%
001 00165 |Loss: 2.113 | Acc: 24.190%
001 00166 |Loss: 2.110 | Acc: 24.303%
001 00167 |Loss: 2.107 | Acc: 24.364%
001 00168 |Loss: 2.106 | Acc: 24.395%
001 00169 |Loss: 2.104 | Acc: 24.496%
001 00170 |Loss: 2.102 | Acc: 24.559%
001 00171 |Loss: 2.100 | Acc: 24.603%
001 00172 |Loss: 2.098 | Acc: 24.623%
001 00173 |Loss: 2.097 | Acc: 24.652%
001 00174 |Loss: 2.094 | Acc: 24.735%
001 00175 |Loss: 2.093 | Acc: 24.754%
001 00176 |Loss: 2.091 | Acc: 24.809%
001 00177 |Loss: 2.089 | Acc: 24.890%
001 00178 |Loss: 2.086 | Acc: 24.960%
001 00179 |Loss: 2.085 | Acc: 25.009%
001 00180 |Loss: 2.083 | Acc: 25.022%
001 00181 |Loss: 2.080 | Acc: 25.082%
001 00182 |Loss: 2.078 | Acc: 25.133%
001 00183 |Loss: 2.077 | Acc: 25.166%
001 00184 |Loss: 2.075 | Acc: 25.208%
001 00185 |Loss: 2.074 | Acc: 25.215%
001 00186 |Loss: 2.071 | Acc: 25.265%
001 00187 |Loss: 2.071 | Acc: 25.267%
001 00188 |Loss: 2.069 | Acc: 25.266%
001 00189 |Loss: 2.067 | Acc: 25.310%
001 00190 |Loss: 2.066 | Acc: 25.362%
001 00191 |Loss: 2.064 | Acc: 25.417%
001 00192 |Loss: 2.063 | Acc: 25.452%
001 00193 |Loss: 2.061 | Acc: 25.506%
001 00194 |Loss: 2.060 | Acc: 25.536%
001 00195 |Loss: 2.058 | Acc: 25.585%
001 00196 |Loss: 2.057 | Acc: 25.590%
001 00197 |Loss: 2.055 | Acc: 25.638%
001 00198 |Loss: 2.055 | Acc: 25.651%
001 00199 |Loss: 2.053 | Acc: 25.691%
001 00200 |Loss: 2.051 | Acc: 25.715%
0
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Deep Residual Learning for Image Recognition浅读与实现
共33个文件
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txt:6个
xml:4个
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Deep Residual Learning for Image Recognition浅读与实现
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ResNet-master.zip (33个子文件)
ResNet-master
Resnet_18
best_acc.txt 0B
main.py 8KB
log.txt 349KB
model
net_022.pth 42.7MB
acc.txt 616B
images
horse.jpeg 193KB
plane.jpeg 237KB
car.jpeg 230KB
ship.jpeg 70KB
dog.jpg 44KB
cat.jpeg 287KB
truck.jpg 44KB
bird.jpeg 55KB
frog.jpeg 119KB
deer.jpeg 233KB
Resnet_50
best_acc.txt 0B
main.py 5KB
log.txt 92KB
model
net_003.pth 90.05MB
acc.txt 84B
pyqt
main.spec 995B
main.py 3KB
.idea
workspace.xml 8KB
misc.xml 295B
inspectionProfiles
profiles_settings.xml 174B
modules.xml 260B
pyqt.iml 324B
net.pth 90.05MB
__pycache__
pyqt.cpython-36.pyc 3KB
main.cpython-36.pyc 3KB
pyqt.py 5KB
pyqt 6KB
logo.ico 7KB
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