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				@@ -34,7 +34,8 @@ n_classes = 10 # MNIST total classes (0-9 digits) 
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				 # tf Graph input 
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				 x = tf.placeholder("float", [None, n_steps, n_input]) 
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				-istate = tf.placeholder("float", [None, 2*n_hidden]) #state & cell => 2x n_hidden 
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				+# Tensorflow LSTM cell requires 2x n_hidden length (state & cell) 
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				+istate = tf.placeholder("float", [None, 2*n_hidden]) 
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				 y = tf.placeholder("float", [None, n_classes]) 
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				 # Define weights 
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