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Harle, Antoine (Contracteur) adaac437b6 Fix cast in Augmented Dataset
2019-12-04 12:58:11 -05:00
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Aug_mod(Data_augV4(Uniform-2 TF)-LeNet)-100 epochs (dataug:0)- 0 in_it.json 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.json 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.json Resultats TF sequentielles 2019-11-11 17:12:16 -05:00
Aug_mod(Data_augV4(Uniform-4 TF)-LeNet)-100 epochs (dataug:0)- 10 in_it.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-14TFx2-Mag)-LeNet)-200 epochs (dataug:0)- 0 in_it.json Augmented Dataset fonctionnel 2019-12-04 12:28:32 -05:00
Aug_mod(Data_augV5(Uniform-14TFx2-Mag)-LeNet)-200 epochs (dataug:0)- 1 in_it.json Augmented Dataset fonctionnel 2019-12-04 12:28:32 -05:00
Aug_mod(Data_augV5(Uniform-14TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 0 in_it.json 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.json Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-14TFx3-Mag)-LeNet)-200 epochs (dataug:0)- 1 in_it.json Augmented Dataset fonctionnel 2019-12-04 12:28:32 -05:00
Aug_mod(Data_augV5(Uniform-15TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json 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.json 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.json Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV5(Uniform-18TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json Augmented Dataset fonctionnel 2019-12-04 12:28:32 -05:00
Aug_mod(Data_augV5(Uniform-20TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json 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.json Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV6(Uniform-14TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json 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.json 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.json 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)- 1 in_it.json Augmented Dataset fonctionnel 2019-12-04 12:28:32 -05:00
Aug_mod(Data_augV6(Uniform-18TF(3)x1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json 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.json 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.json work in progress - validation brutus res 2019-12-04 10:05:59 -05:00
Aug_mod(Data_augV6(Uniform-18TF(3)x3-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json Augmented Dataset fonctionnel 2019-12-04 12:28:32 -05:00
Aug_mod(Data_augV6(Uniform-18TFx1-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(Data_augV6(Uniform-18TFx2-MagFxSh)-LeNet)-100 epochs (dataug:0)- 10 in_it.json Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
Aug_mod(RandAug(14TFx1-Mag1)-LeNet)-150 epochs (dataug:0)- 0 in_it.json 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.json 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.json 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.json 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.json Ajout RandAug (Before train) (Work in progress) 2019-12-02 06:38:13 -05:00
LeNet-100 epochs.json Fix LeNet Tensorflow 2019-11-21 12:29:17 -05:00
WideResNet (s16-d28)-10 epochs.json Resultats avec early stop sur data test 2019-11-14 13:13:03 -05:00