From 23e71542f2bd78c422b43e9dd3dfe45be0b32f51 Mon Sep 17 00:00:00 2001 From: TreetopFlyer Date: Thu, 29 Jul 2021 09:19:27 -0400 Subject: [PATCH] adjust ok --- index.html | 5 ++++- nn.ts | 5 +++-- 2 files changed, 7 insertions(+), 3 deletions(-) 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); \ 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; };