Mercurial > ift6266

annotate baseline/conv_mlp/convolutional_mlp.conf @ 185:b9ea8e2d071a

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Enlevé ce qui concernait la réutilisation de résultats de préentraînement (trop compliqué pour peu de bénéfice: c'est le finetuning qui est vraiment long
author fsavard
date Fri, 26 Feb 2010 17:45:52 -0500
parents d37c944133c3
children
rev   line source
146
33038ab4e799 Reseau a convolution
Jeremy Eustache <jeremy.eustache@voila.fr>
parents:
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1 learning_rate=0.01
33038ab4e799 Reseau a convolution
Jeremy Eustache <jeremy.eustache@voila.fr>
parents:
diff changeset
2 n_iter=1
33038ab4e799 Reseau a convolution
Jeremy Eustache <jeremy.eustache@voila.fr>
parents:
diff changeset
3 batch_size=20
33038ab4e799 Reseau a convolution
Jeremy Eustache <jeremy.eustache@voila.fr>
parents:
diff changeset
4 n_kern0=20
33038ab4e799 Reseau a convolution
Jeremy Eustache <jeremy.eustache@voila.fr>
parents:
diff changeset
5 n_kern1=50
33038ab4e799 Reseau a convolution
Jeremy Eustache <jeremy.eustache@voila.fr>
parents:
diff changeset
6 filter_shape=5
33038ab4e799 Reseau a convolution
Jeremy Eustache <jeremy.eustache@voila.fr>
parents:
diff changeset
7 n_layer=3