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.gitignore
.gitignore
 
 
CNN16MLP32.txt
CNN16MLP32.txt
 
 
CNN16MLP32diffopt.txt
CNN16MLP32diffopt.txt
 
 
CNN32MLP32.txt
CNN32MLP32.txt
 
 
CNN32MLP32diffopt.txt
CNN32MLP32diffopt.txt
 
 
batchKmeans1024mlp.txt
batchKmeans1024mlp.txt
 
 
check.py
check.py
 
 
cnn.py
cnn.py
 
 
cnn16levelsnew_KM.txt
cnn16levelsnew_KM.txt
 
 
cnn16levelsnew_KM_mlpDecrease.txt
cnn16levelsnew_KM_mlpDecrease.txt
 
 
cnn16levelsnew_KM_mlpDecrease_bound.txt
cnn16levelsnew_KM_mlpDecrease_bound.txt
 
 
cnn32levelsnew_KM_mlpDecrease.txt
cnn32levelsnew_KM_mlpDecrease.txt
 
 
cnn32levelsnew_KM_mlpDecrease_bound.txt
cnn32levelsnew_KM_mlpDecrease_bound.txt
 
 
cnn32levelsnew_KM_mlpcnnDecrease3060.txt
cnn32levelsnew_KM_mlpcnnDecrease3060.txt
 
 
getOptions.py
getOptions.py
 
 
inder_node.py
inder_node.py
 
 
indernew32_KM.txt
indernew32_KM.txt
 
 
mlp.py
mlp.py
 
 
mlp_small.py
mlp_small.py
 
 
model.py
model.py
 
 
new1_BKM.txt
new1_BKM.txt
 
 
new2_BKM.txt
new2_BKM.txt
 
 
new32_BKM.txt
new32_BKM.txt
 
 
new32_KM.txt
new32_KM.txt
 
 
newDefault.txt
newDefault.txt
 
 
newDefault100.txt
newDefault100.txt
 
 
newFD.txt
newFD.txt
 
 
newFD_ENS.txt
newFD_ENS.txt
 
 
newFD_PROB.txt
newFD_PROB.txt
 
 
newFD_RF.txt
newFD_RF.txt
 
 
newKM_Res_test.txt
newKM_Res_test.txt
 
 
new_BKM.txt
new_BKM.txt
 
 
new_KM.txt
new_KM.txt
 
 
new_node.py
new_node.py
 
 
prev_new_node.py
prev_new_node.py
 
 
print_md0.txt
print_md0.txt
 
 
print_md6.txt
print_md6.txt
 
 
print_md6_2.txt
print_md6_2.txt
 
 
print_md6_FD_M_E.txt
print_md6_FD_M_E.txt
 
 
print_md6_KM.txt
print_md6_KM.txt
 
 
print_md6_KM_SMT.txt
print_md6_KM_SMT.txt
 
 
probCkptDFS.txt
probCkptDFS.txt
 
 
probCkptTest.txt
probCkptTest.txt
 
 
readme.txt
readme.txt
 
 
same_F_E.txt
same_F_E.txt
 
 
test0.txt
test0.txt
 
 
test1.txt
test1.txt
 
 
test2_md6_EP_M.txt
test2_md6_EP_M.txt
 
 
test2_md6_FD_M.txt
test2_md6_FD_M.txt
 
 
test2_md6_FD_Mnew.txt
test2_md6_FD_Mnew.txt
 
 
test6.txt
test6.txt
 
 
test7.txt
test7.txt
 
 
testActual.txt
testActual.txt
 
 
test_cOut16_mFC2_16.txt
test_cOut16_mFC2_16.txt
 
 
test_md6_EP_M.txt
test_md6_EP_M.txt
 
 
test_md6_FD.txt
test_md6_FD.txt
 
 
test_md6_FD_M.txt
test_md6_FD_M.txt
 
 
test_md6_KM.txt
test_md6_KM.txt
 
 
test_md6_KM_SMT.txt
test_md6_KM_SMT.txt
 
 
test_md6_noVal.txt
test_md6_noVal.txt
 
 
tmp.txt
tmp.txt
 
 
tmp10.txt
tmp10.txt
 
 
tmpEX.txt
tmpEX.txt
 
 
tmpEX100.txt
tmpEX100.txt
 
 
tmpEX30.txt
tmpEX30.txt
 
 
tmpEX60dec.txt
tmpEX60dec.txt
 
 
tmpEX60dec100.txt
tmpEX60dec100.txt
 
 
train.txt
train.txt
 
 
train0.txt
train0.txt
 
 
train1.txt
train1.txt
 
 
train1024_cOut16_mFC2_16.txt
train1024_cOut16_mFC2_16.txt
 
 
train1024_cOut16_mFC2_32.txt
train1024_cOut16_mFC2_32.txt
 
 
train1024_cOut32_mFC2_16.txt
train1024_cOut32_mFC2_16.txt
 
 
train1024_cOut32_mFC2_32.txt
train1024_cOut32_mFC2_32.txt
 
 
trainTrain.txt
trainTrain.txt
 
 
trainTrain1.txt
trainTrain1.txt
 
 
train_cOut16_mFC2_16.txt
train_cOut16_mFC2_16.txt
 
 
train_cOut16_mFC2_32.txt
train_cOut16_mFC2_32.txt
 
 
train_cOut32_mFC2_16.txt
train_cOut32_mFC2_16.txt
 
 
train_cOut32_mFC2_32.txt
train_cOut32_mFC2_32.txt
 
 
train_cOut32_mFC2_32new.txt
train_cOut32_mFC2_32new.txt
 
 
traintest.txt
traintest.txt
 
 
traintest1.txt
traintest1.txt
 
 
traintest1nb.txt
traintest1nb.txt
 
 
traintest2.txt
traintest2.txt
 
 
traintest3.txt
traintest3.txt
 
 
traintest6.txt
traintest6.txt
 
 
traintest6_EP_M.txt
traintest6_EP_M.txt
 
 
traintest6_FD.txt
traintest6_FD.txt
 
 
traintest6_FD_M.txt
traintest6_FD_M.txt
 
 
traintest6_KM.txt
traintest6_KM.txt
 
 
traintest6_KM_SMT.txt
traintest6_KM_SMT.txt
 
 
traintest6_noVal.txt
traintest6_noVal.txt
 
 
traintest6_noVal2.txt
traintest6_noVal2.txt
 
 
traintest6new.txt
traintest6new.txt
 
 
traintest7.txt
traintest7.txt
 
 
traintest_md6_FD_M_E.txt
traintest_md6_FD_M_E.txt
 
 
traintest_md6_FD_Mnew.txt
traintest_md6_FD_Mnew.txt
 
 
valwithoptimiser30epochs.txt
valwithoptimiser30epochs.txt
 
 
withoutvalAndoptimiser60epochs.txt
withoutvalAndoptimiser60epochs.txt
 
 

Repository files navigation

#1: Run the code using :- 
	python3 model.py [args]


#2: Print all possible options :-
	python3 model.py --h

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Image Classification using MLP Trees

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