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authorAlex Auvolat <alex.auvolat@ens.fr>2015-05-06 10:12:17 -0400
committerAlex Auvolat <alex.auvolat@ens.fr>2015-05-06 10:12:17 -0400
commit35b4503ddd148b0c937468891dd0a7e9ff1c79f4 (patch)
tree92db398bce1f557ca9cb988dcf64a700ad249e47 /config/dest_simple_mlp_tgtcls_1_cswdt.py
parent60aa0d3fdd42d7489cc69acbb54c59d7c249ea34 (diff)
downloadtaxi-35b4503ddd148b0c937468891dd0a7e9ff1c79f4.tar.gz
taxi-35b4503ddd148b0c937468891dd0a7e9ff1c79f4.zip
Move weights init to config files ; fix s/time/travel_time
Diffstat (limited to 'config/dest_simple_mlp_tgtcls_1_cswdt.py')
-rw-r--r--config/dest_simple_mlp_tgtcls_1_cswdt.py6
1 files changed, 6 insertions, 0 deletions
diff --git a/config/dest_simple_mlp_tgtcls_1_cswdt.py b/config/dest_simple_mlp_tgtcls_1_cswdt.py
index 6aa2a03..a3ae654 100644
--- a/config/dest_simple_mlp_tgtcls_1_cswdt.py
+++ b/config/dest_simple_mlp_tgtcls_1_cswdt.py
@@ -1,5 +1,7 @@
import cPickle
+from blocks.initialization import IsotropicGaussian, Constant
+
import data
import model.dest_simple_mlp_tgtcls as model
@@ -24,6 +26,10 @@ dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings)
dim_hidden = [500]
dim_output = tgtcls.shape[0]
+embed_weights_init = IsotropicGaussian(0.001)
+mlp_weights_init = IsotropicGaussian(0.01)
+mlp_biases_init = Constant(0.001)
+
learning_rate = 0.0001
momentum = 0.99
batch_size = 32