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comparison deep/stacked_dae/v_sylvain/nist_sda.py @ 419:c91d7b67fa41

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Correction d'une petite erreur dans le nom des fichiers de parametres de pretrain
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Fri, 30 Apr 2010 14:48:08 -0400
parents 7c201ca1484f
children
comparison
equal deleted inserted replaced
418:fb028b37ce92 419:c91d7b67fa41
156 All hidden units output are input of the logistic regression\n\n') 156 All hidden units output are input of the logistic regression\n\n')
157 optimizer.reload_parameters('params_pretrain.txt') 157 optimizer.reload_parameters('params_pretrain.txt')
158 optimizer.finetune(datasets.nist_all(),datasets.nist_P07(),max_finetune_epoch_NIST,ind_test=1,special=1,decrease=decrease_lr) 158 optimizer.finetune(datasets.nist_all(),datasets.nist_P07(),max_finetune_epoch_NIST,ind_test=1,special=1,decrease=decrease_lr)
159 if finetune_choice == 4: 159 if finetune_choice == 4:
160 print ('\n\n\tFinetune with PNIST07 then NIST\n\n') 160 print ('\n\n\tFinetune with PNIST07 then NIST\n\n')
161 optimizer.reload_parameters('params)pretrain.txt') 161 optimizer.reload_parameters('params_pretrain.txt')
162 optimizer.finetune(datasets.PNIST07(),datasets.nist_all(),max_finetune_epoch_NIST,ind_test=30,decrease=decrease_lr,dataset_test2=datasets.nist_P07()) 162 optimizer.finetune(datasets.PNIST07(),datasets.nist_all(),max_finetune_epoch_NIST,ind_test=30,decrease=decrease_lr,dataset_test2=datasets.nist_P07())
163 optimizer.finetune(datasets.nist_all(),datasets.PNIST07(),max_finetune_epoch_NIST,ind_test=31,decrease=decrease_lr,dataset_test2=datasets.nist_P07()) 163 optimizer.finetune(datasets.nist_all(),datasets.PNIST07(),max_finetune_epoch_NIST,ind_test=31,decrease=decrease_lr,dataset_test2=datasets.nist_P07())
164 164
165 if finetune_choice==-1: 165 if finetune_choice==-1:
166 print('\nSERIE OF 4 DIFFERENT FINETUNINGS') 166 print('\nSERIE OF 4 DIFFERENT FINETUNINGS')
185 optimizer.reload_parameters('params_pretrain.txt') 185 optimizer.reload_parameters('params_pretrain.txt')
186 optimizer.finetune(datasets.nist_all(),datasets.nist_P07(),max_finetune_epoch_NIST,ind_test=1,special=1,decrease=decrease_lr) 186 optimizer.finetune(datasets.nist_all(),datasets.nist_P07(),max_finetune_epoch_NIST,ind_test=1,special=1,decrease=decrease_lr)
187 channel.save() 187 channel.save()
188 print ('\n\n\tFinetune with PNIST07\n\n') 188 print ('\n\n\tFinetune with PNIST07\n\n')
189 sys.stdout.flush() 189 sys.stdout.flush()
190 optimizer.reload_parameters('params)pretrain.txt') 190 optimizer.reload_parameters('params_pretrain.txt')
191 optimizer.finetune(datasets.PNIST07(),datasets.nist_all(),max_finetune_epoch_NIST,ind_test=2,decrease=decrease_lr,dataset_test2=datasets.nist_P07()) 191 optimizer.finetune(datasets.PNIST07(),datasets.nist_all(),max_finetune_epoch_NIST,ind_test=2,decrease=decrease_lr,dataset_test2=datasets.nist_P07())
192 channel.save() 192 channel.save()
193 sys.stdout.flush() 193 sys.stdout.flush()
194 optimizer.finetune(datasets.nist_all(),datasets.PNIST07(),max_finetune_epoch_NIST,ind_test=31,decrease=decrease_lr,dataset_test2=datasets.nist_P07()) 194 optimizer.finetune(datasets.nist_all(),datasets.PNIST07(),max_finetune_epoch_NIST,ind_test=31,decrease=decrease_lr,dataset_test2=datasets.nist_P07())
195 195