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Update LSTM_Regression.py #72

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10 changes: 5 additions & 5 deletions nlp/LSTM_Regression.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,11 +4,11 @@


BATCH_START = 0
TIME_STEPS = 20
BATCH_SIZE = 50
TIME_STEPS = 15 # smaller steps will be taken
BATCH_SIZE = 60 #better batch size
INPUT_SIZE = 1
OUTPUT_SIZE = 1
CELL_SIZE = 10
CELL_SIZE = 20 #increased the cell size from 10 to 20 to store more cell size
LR = 0.006


Expand Down Expand Up @@ -74,7 +74,7 @@ def add_output_layer(self):
with tf.name_scope('Wx_plus_b'):
self.pred = tf.matmul(l_out_x, Ws_out) + bs_out

def compute_cost(self):
def compute_cost(self): #the given fucntion reshapes the given target and computes the cost of the loss function
losses = tf.contrib.legacy_seq2seq.sequence_loss_by_example(
[tf.reshape(self.pred, [-1], name='reshape_pred')],
[tf.reshape(self.ys, [-1], name='reshape_target')],
Expand Down Expand Up @@ -148,4 +148,4 @@ def _bias_variable(self, shape, name='biases'):
if i % 20 == 0:
print('cost: ', round(cost, 4))
result = sess.run(merged, feed_dict)
writer.add_summary(result, i)
writer.add_summary(result, i)