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-rw-r--r--config/lstm-xreg-relu.py48
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diff --git a/config/lstm-xreg-relu.py b/config/lstm-xreg-relu.py
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+from blocks.algorithms import AdaDelta
+from blocks.bricks import Tanh, Rectifier
+
+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 = 50
+seq_len = 5000
+seq_div_size = 200
+
+layers = [
+ {'dim': 1024,
+ 'xreg': (768, 0.1, 50, 5, 5)
+ },
+ {'dim': 1024,
+ 'xreg': (768, 0.1, 50, 5, 5)
+ },
+ {'dim': 1024,
+ },
+]
+activation_function = Rectifier()
+
+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 = 0.02
+i_dropout = 0.5
+
+l1_reg = 0
+
+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
+
+# do we want to generate samples at times during training?
+sample_len = 1000
+sample_freq = 100
+sample_init = '\nalex\ttu crois?\n'
+