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author | Alex Auvolat <alex.auvolat@ens.fr> | 2015-07-10 17:16:20 -0400 |
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committer | Alex Auvolat <alex.auvolat@ens.fr> | 2015-07-10 17:16:20 -0400 |
commit | 27a0e0949c6ca3f7bd18569a23ddd0e1b3e9a64e (patch) | |
tree | 1201f8abe7c664f15084b1d48ed8de92c72879d8 /config | |
parent | 793be7b049cecba43072858341dc7006fef352e7 (diff) | |
download | taxi-27a0e0949c6ca3f7bd18569a23ddd0e1b3e9a64e.tar.gz taxi-27a0e0949c6ca3f7bd18569a23ddd0e1b3e9a64e.zip |
Batch shuffling
Diffstat (limited to 'config')
-rw-r--r-- | config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py b/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py index a4db33c..b816930 100644 --- a/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py +++ b/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py @@ -23,14 +23,14 @@ dim_embeddings = [ ] dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings) -dim_hidden = [1000] +dim_hidden = [500] dim_output = tgtcls.shape[0] embed_weights_init = IsotropicGaussian(0.01) mlp_weights_init = IsotropicGaussian(0.1) mlp_biases_init = Constant(0.01) -step_rule = Momentum(learning_rate=0.01, momentum=0.9) +step_rule = Momentum(learning_rate=0.001, momentum=0.99) batch_size = 200 |