Addresses blackgnezdo nitpicks related to comments.

tensorflow-ops/src/TensorFlow/Minimize.hs

@@ -71,8 +71,6 @@ gradientDescent learningRate params grads = TF.withNameScope "gradientDescent" $
             TF.assignAdd param (TF.scalar (-learningRate) `TF.mul` grad)
     TF.group =<< zipWithM applyGrad params grads
 
--- TODO: Support more than Float in adam.
-
 data AdamConfig t = AdamConfig
     { adamLearningRate :: t
     , adamBeta1        :: t

tensorflow-ops/tests/OpsTest.hs

@@ -104,7 +104,7 @@ testRereadRef = testCase "testReRunAssign" $ TF.runSession $ do
     f1 <- TF.run w
     liftIO $ (0.0, 0.1) @=? (TF.unScalar f0, TF.unScalar f1)
 
--- | Test einstein summation
+-- | Test Einstein summation.
 testEinsum :: Test
 testEinsum = testCase "testEinsum" $ TF.runSession $ do
     -- Matrix multiply