diff --git a/index.html b/index.html
index 5b7b9a1..8520882 100644
--- a/index.html
+++ b/index.html
@@ -709,7 +709,10 @@ NN.Network.Stochastic = function(inNetwork, inTrainingSet, inIterations)
 
     let stage1 = NN.Layer.Forward(layer1, typeA);
 	let stage1Error = NN.Layer.Error(layer1, goals);
+	let stage1Back = NN.Layer.Backward(layer1, stage1Error);
 
-    console.log(stage1Error);
+	console.log("matrix before", layer1.Forward.Matrix);
+	NN.Layer.Adjust(layer1, 0.1);
+	console.log("matrix after", layer1.Forward.Matrix);
 
 </script>
\ No newline at end of file
diff --git a/nn.ts b/nn.ts
index 874b28f..41789a0 100644
--- a/nn.ts
+++ b/nn.ts
@@ -34,8 +34,6 @@ const Backward = (inStages:N, inLayers:N, inGoals:Cloud.M, inRate:number):N =>
     let i:number;
     let errorBack:Cloud.M = M.Batch.Subtract(inStages[inStages.length-1], inGoals);
 
-    console.log(errorBack);
-
     for(i=inLayers.length-1; i>=0; i--)
     {
         let  layerInput:Cloud.M = inStages[i];
@@ -43,12 +41,15 @@ const Backward = (inStages:N, inLayers:N, inGoals:Cloud.M, inRate:number):N =>
         let errorScaled:Cloud.M = M.Batch.Multiply(errorBack, M.Batch.Derivative(layerOutput));
 
         errorBack = M.Batch.Affine(errorScaled, M.Create.Transpose(inLayers[i]));
+        console.log("matrix before:", inLayers[i]);
 
         errorScaled.forEach((inScaledError:Cloud.V, inIndex:number)=> {
             const deltas = M.Batch.Scale(M.Create.Outer(layerInput[inIndex], inScaledError), inRate);
             inLayers[i] = M.Batch.Subtract(inLayers[i], deltas);
         });
 
+        console.log("matrix after:", inLayers[i]);
+
     }
     return inLayers;
 };