AntoineH/smart_augmentation
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smart_augmentation/higher/res
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root 5ea4134e57 Resultat partiel brutus
2019-12-04 16:36:35 -05:00
..
brutus-tests Resultat partiel brutus 2019-12-04 16:36:35 -05:00
good_TF_tests Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
log work in progress - validation brutus res 2019-12-04 10:05:59 -05:00
MNIST Initial Commit 2019-11-08 11:28:06 -05:00
TF_nb_tests Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00
Aug_mod(Data_augV4(Uniform-2 TF)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout fichier manquqnt precedent commit 2019-11-11 14:36:37 -05:00
Aug_mod(Data_augV4(Uniform-3 TF x 1)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-3 TF x 2)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-3 TF)-LeNet)-100 epochs (dataug:-1)- 0 in_it.png Initial Commit 2019-11-08 11:28:06 -05:00
Aug_mod(Data_augV4(Uniform-3 TF)-LeNet)-100 epochs (dataug:-1)- 10 in_it.png Initial Commit 2019-11-08 11:28:06 -05:00
Aug_mod(Data_augV4(Uniform-3 TF)-LeNet)-200 epochs (dataug:0)- 10 in_it.png Initial Commit 2019-11-08 11:28:06 -05:00
Aug_mod(Data_augV4(Uniform-4 TF)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-11 TF)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-14 TF x 1)-LeNet)-100 epochs (dataug:0)- 10 in_it (SOFT).png Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-14 TF x 2)-LeNet)-10 epochs (dataug:0)- 10 in_it.png Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00
Aug_mod(Data_augV4(Uniform-14 TF x 2)-LeNet)-100 epochs (dataug:0)- 0 in_it (SOFT).png Rangement dans le code 2 2019-11-13 11:45:05 -05:00
Aug_mod(Data_augV4(Uniform-14 TF x 2)-LeNet)-100 epochs (dataug:0)- 10 in_it (SOFT).png Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-14 TF x 2)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-14 TF x 2)-LeNet)-200 epochs (dataug:0)- 10 in_it.png Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00
Aug_mod(Data_augV4(Uniform-14 TF x 2)-WideResNet(s16-d28))-10 epochs (dataug:0)- 2 in_it.png Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00
Aug_mod(Data_augV5(Mix0,5-14TFx2-Mag)-LeNet)-200 epochs (dataug:0)- 10 in_it.png Fix LeNet Tensorflow 2019-11-21 12:29:17 -05:00
Aug_mod(Data_augV5(Mix0,5-14TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Fix LeNet Tensorflow 2019-11-21 12:29:17 -05:00
Aug_mod(Data_augV5(Mix0,5-14TFx2-MagFxSh)-LeNet)-200 epochs (dataug:0)- 10 in_it.png Fix LeNet Tensorflow 2019-11-21 12:29:17 -05:00
Aug_mod(Data_augV5(Mix0,5-14TFx2-MagSh)-LeNet)-200 epochs (dataug:0)- 10 in_it.png Fix LeNet Tensorflow 2019-11-21 12:29:17 -05:00
Aug_mod(Data_augV5(Uniform-3TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-4TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-7TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-7TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-9TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-9TFx1-MagFxSh)-LeNet)-100 epochs (dataug:30)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-9TFx1-MagFxSh)rand0,5-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-13TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-13TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-13TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-13TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-14TFx2-Mag)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-14TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-14TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-15TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-15TFx1-MagFxSh)-LeNet)-100 epochs (dataug:30)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-15TFx1-MagFxSh)-LeNet)-100 epochs (dataug:30)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-20TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-7TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-7TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-9TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-14TFx1-Mag)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-14TFx2-Mag)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-17TFx1-Mag)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-17TFx1-MagSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(UniformFx-17TFx2-MagSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV6(Uniform-18TF(2)x1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png work in progress - validation brutus res 2019-12-04 10:05:59 -05:00
Aug_mod(Data_augV6(Uniform-18TF(2)x2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV6(Uniform-18TF(3)x1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png Support taille arbitraire de sets dans Dataugv6 2019-12-02 08:22:24 -05:00
Aug_mod(Data_augV6(Uniform-18TF(3)x2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 1 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV6(Uniform-18TF(3)x2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.png work in progress - validation brutus res 2019-12-04 10:05:59 -05:00
Aug_mod(RandAug(14TFx1-Mag1)-LeNet)-150 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(RandAug(14TFx2-Mag1)-LeNet)-150 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(RandAug(18TFx2-Mag1)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(RandAugUDA(14TFx2-Mag1)-LeNet)-150 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(RandAugUDA(18TFx2-Mag1)-LeNet)-100 epochs (dataug:0)- 0 in_it.png Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
LeNet-100 epochs.png Fix LeNet Tensorflow 2019-11-21 12:29:17 -05:00
TF_nb_tests_compare.png Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00
TF_seq_tests_compare.png Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00
WideResNet(s16-d28)-10 epochs.png Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00