Update tiled net.

Author: ameritusweb

examples/gravnet/ParallelReverseAutoDiff.GravNetExample/TiledNet.cs

@@ -39,7 +39,7 @@ public TiledNet(int numNodes, int numFeatures, int numLayers, double learningRat
             this.clipValue = clipValue;
             this.modelLayers = new List<IModelLayer>();
             this.entities = new List<(string, string)>();
-            this.TiledNetwork = new TiledNetwork.TiledNetwork(this.numLayers, this.numNodes, this.numFeatures, this.learningRate, this.clipValue, "spatialnet");
+            this.TiledNetwork = new TiledNetwork.TiledNetwork(this.numLayers, this.numNodes, this.numFeatures, this.learningRate, this.clipValue, "tilednet");
             this.adamOptimize = new StochasticAdamOptimizer(this.TiledNetwork);
         }
 
@@ -81,7 +81,7 @@ public void AdjustLearningRate(double learningRate)
         public async Task Initialize()
         {
             var initialAdamIteration = 1;
-            var model = new TiledNetwork.TiledNetwork(this.numLayers, this.numNodes, this.numFeatures, this.learningRate, this.clipValue, "spatialnet");
+            var model = new TiledNetwork.TiledNetwork(this.numLayers, this.numNodes, this.numFeatures, this.learningRate, this.clipValue, "tilednet");
             model.Parameters.AdamIteration = initialAdamIteration;
             this.TiledNetwork = model;
             await this.TiledNetwork.Initialize();

examples/gravnet/ParallelReverseAutoDiff.GravNetExample/TiledNetTrainer.cs

@@ -14,7 +14,7 @@ public async Task Train()
                 CudaBlas.Instance.Initialize();
                 TiledNet net = new TiledNet(512, 6144, 3, 0.01d, 4d);
                 await net.Initialize();
-                net.ApplyWeights();
+                //net.ApplyWeights();
 
                 var pngFiles = Directory.GetFiles(@"E:\images\inputs\svg", "*.png");