1 files changed, 52 insertions, 0 deletions
diff --git a/config/lstm-deep-l1.py b/config/lstm-deep-l1.py
new file mode 100644
index 0000000..fd330c7
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+++ b/config/lstm-deep-l1.py
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+from blocks.algorithms import AdaDelta
+from blocks.bricks import Tanh
+
+from model.lstm import Model
+
+dataset = 'data/logcompil.txt'
+io_dim = 256
+
+# An epoch will be composed of 'num_seqs' sequences of len 'seq_len'
+# divided in chunks of lengh 'seq_div_size'
+num_seqs = 100
+seq_len = 5000
+seq_div_size = 200
+
+layers = [
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+	{'dim':		512},
+]
+activation_function = Tanh()
+
+i2h_all = True             # input to all hidden layers or only first layer
+h2o_all = True             # all hiden layers to output or only last layer
+
+w_noise_std = 0
+i_dropout = 0
+
+l1_reg = 0
+l1_reg_weight = 0.05
+
+step_rule = AdaDelta()
+
+# parameter saving freq (number of batches)
+monitor_freq = 100
+save_freq = 100
+
+# used for sample generation and IRC mode
+#sample_temperature = 0.7 #0.5
+sample_temperature = 0.9 #0.5
+
+# do we want to generate samples at times during training?
+sample_len = 1000
+sample_freq = 100
+sample_init = '\nalex\ttu crois?\n'
+