Minor typo fixes in doc

doc/library/tensor/basic.txt

@@ -846,18 +846,18 @@ Reductions
 
     :Parameter: *no_zeros_in_input* - The grad of prod is complicated
          as we need to handle 3 different cases: without zeros in the
-         input reduced group, with 1 zeros or with more zeros.
+         input reduced group, with 1 zero or with more zeros.
 
 	 This could slow you down, but more importantly, we currently
 	 don't support the second derivative of the 3 cases. So you
-	 can not take the second derivative of the default prod().
+	 cannot take the second derivative of the default prod().
 
 	 To remove the handling of the special cases of 0 and so get
 	 some small speed up and allow second derivative set
-	 ``no_zeros_in_inputs`` to ``True``. It default to ``False``.
+	 ``no_zeros_in_inputs`` to ``True``. It defaults to ``False``.
 
-	 **It is the user responsability to make sure there is no zeros
-	 in the inputs. If there is, the grad will be wrong.**
+	 **It is the user responsibility to make sure there are no zeros
+	 in the inputs. If there are, the grad will be wrong.**
 
     :Returns: product of every term in *x* along *axis*
 

theano/sandbox/gpuarray/conv.cu

-// REMEMBER TO RAISE c_code_cache_version when changing this file
+// REMEMBER TO INCREASE c_code_cache_version when changing this file
 //
 //TODO detect SHARED_SIZE dynamically
 #define SHARED_SIZE (16*1024)

theano/sandbox/gpuarray/conv.py

@@ -31,21 +31,21 @@ class GpuConv(gof.Op):
             imshp=None,
             max_threads_dim0=None):
         """
-        :param version: each version of c_code implement many kernel for the
+        :param version: each version of c_code implements many kernels for the
                         convolution. By default we try to guess the best one.
                         You can force one version with this parameter. This
                         parameter is used by the tests.
         :param verbose: for value of 1,2 and 3. Print more information during
                         the execution of the convolution. Mostly used for
                         optimization or debugging.
-        :param kshp:    The size of the kernel. If provided, can genera
+        :param kshp:    The size of the kernel. If provided, can generate
                         faster code. If the GpuConv op is automatically
                         inserted,
                         we take its value automatically from the Conv op.
         :param imshp:   The size of the image. Not used for code generation but
-                        allow to select an experimental new version in another
+                        allows to select an experimental new version in another
                         repo.
-        :param max_threads_dim0: The maximum number of thread for the
+        :param max_threads_dim0: The maximum number of threads for the
                         block size dimensions 0 (blockDim.x) used by the
                         GPU function.
 

theano/sandbox/gpuarray/conv_kernel.cu

-// REMEMBER TO RAISE c_code_cache_version when changing this file
+// REMEMBER TO INCREASE c_code_cache_version when changing this file
 //
 //implement the valid convolution only