docstring fix following code review

theano/gpuarray/dnn.py

@@ -2453,18 +2453,18 @@ class RNNBlock(object):
 
         h_t=ReLU(W_ix_t+U_ih_{t-1}+b_{wi}+b_{Ri})
         rnn_tanh: A single-gate recurrent neural network with a tanh activation function.
-        
+
         .. math::
 
         h_t=tanh(W_ix_t+U_ih_{t-1}+b_{wi}+b_{Ri})
-        
+
         lstm: A four-gate Long Short-Term Memory network with no peephole connections.
         gru: A three-gate network consisting of Gated Recurrent Units.
     input_mode : {'linear', 'skip'}
         linear: input will be multiplied by a biased matrix
         skip: No operation is performed on the input.  The size must match the hidden size.
     direction_mode : {'unidirectional', 'bidirectional'}
-        unidirectional: The network operates recurrently from thefirst input to the last.
+        unidirectional: The network operates recurrently from the first input to the last.
         bidirectional: The network operates from first to last then from last to first and concatenates the results at each layer.
 
     """