Change the default learnRateAdjustInterval to 1 instead of 2.

MachineLearning/cn/SGD.h

@@ -255,7 +255,7 @@ namespace Microsoft { namespace MSR { namespace CNTK {
             m_learnRateIncreaseFactor=learnRateIncreaseFactor;
             m_reduceLearnRateIfImproveLessThan=reduceLearnRateIfImproveLessThan;
              m_continueReduce=continueReduce;
-             m_learnRateAdjustInterval = max((size_t) 2, learnRateAdjustInterval); //minimum interval is 1 epoch
+             m_learnRateAdjustInterval = max((size_t) 1, learnRateAdjustInterval); //minimum interval is 1 epoch
             m_learnRateDecreaseFactor=learnRateDecreaseFactor;
             m_clippingThresholdPerSample=abs(clippingThresholdPerSample);
             m_numMiniBatch4LRSearch=numMiniBatch4LRSearch;
@@ -1446,7 +1446,6 @@ protected:
 
                 node->UpdateEvalTimeStamp();
                 net.ComputeGradient(criterionNodes[npos]);  //use only the first criterion. Is 
-                //ElemType mbEvalCri =
                 criterionNodes[npos]->FunctionValues().Get00Element(); //criterionNode should be a scalar
                 ElemType eGradErr = node->GradientValues()(irow, icol);