fix formatting

Author: daelsepara

DeepLearnMac/Activation.cs

@@ -7,7 +7,7 @@ public static class Activation
 {
     public static Pixbuf Get(ManagedCNN cnn, int layer, int map)
     {
-        if (layer >= 0 && layer < cnn.Layers.Count && map >=0 && map < cnn.Layers[layer].Activation.i)
+        if (layer >= 0 && layer < cnn.Layers.Count && map >= 0 && map < cnn.Layers[layer].Activation.i)
         {
             var Activation = new ManagedArray(cnn.Layers[layer].Activation.x, cnn.Layers[layer].Activation.y, cnn.Layers[layer].Activation.z);
             var Transposed = new ManagedArray(Activation);
@@ -17,8 +17,8 @@ public static Pixbuf Get(ManagedCNN cnn, int layer, int map)
             ManagedMatrix.Transpose(Transposed, Activation);
 
             // Get normalization values
-			double min = Double.MaxValue;
-			double max = double.MinValue;
+            double min = Double.MaxValue;
+            double max = double.MinValue;
 
             for (int y = 0; y < Transposed.y; y++)
             {

DeepLearnMac/Bias.cs

@@ -1,7 +1,6 @@
 using DeepLearnCS;
 using Gdk;
 using System;
-using System.Runtime.InteropServices;
 
 public static class Bias
 {
@@ -15,8 +14,8 @@ public static Pixbuf Get(ManagedCNN cnn, int layer)
             var pixbuf = new Pixbuf(Colorspace.Rgb, false, 8, Transposed.x, Transposed.y);
 
             // Get normalization values
-			double min = Double.MaxValue;
-			double max = Double.MinValue;
+            double min = Double.MaxValue;
+            double max = Double.MinValue;
 
             FullyConnected.GetNormalization(Transposed, ref min, ref max);
 

DeepLearnMac/Classify.cs

@@ -17,7 +17,7 @@ public static void Pixbuf(Pixbuf Digit, ManagedCNN cnn, ref int digit, ref doubl
         cnn.FeedForward(Transposed);
 
         digit = 0;
-		double max = double.MinValue;
+        double max = double.MinValue;
 
         for (int y = 0; y < cnn.Output.y; y++)
         {
@@ -61,7 +61,7 @@ public static void Convert(Pixbuf pixbuf, ManagedArray digit)
                         b = Marshal.ReadByte(offset, 2);
                     }
 
-					digit[x, y] = (r * 299 + g * 587 + b * 114) / (255000);
+                    digit[x, y] = (r * 299 + g * 587 + b * 114) / (255000);
                 }
             }
         }

DeepLearnMac/Feature.cs

@@ -17,8 +17,8 @@ public static Pixbuf Get(ManagedCNN cnn, int layer, int i, int j)
             ManagedMatrix.Transpose(Transposed, FeatureMap);
 
             // Get normalization values
-			double min = Double.MaxValue;
-			double max = Double.MinValue;
+            double min = Double.MaxValue;
+            double max = Double.MinValue;
 
             FullyConnected.GetNormalization(Transposed, ref min, ref max);
 

DeepLearnMac/FullyConnected.cs

@@ -13,8 +13,8 @@ public static Pixbuf Get(ManagedArray layer, bool transpose = true)
 
             var pixbuf = new Pixbuf(Colorspace.Rgb, false, 8, Transposed.x, Transposed.y);
 
-			double min = Double.MaxValue;
-			double max = Double.MinValue;
+            double min = Double.MaxValue;
+            double max = Double.MinValue;
 
             GetNormalization(Transposed, ref min, ref max);
 
@@ -28,8 +28,8 @@ public static Pixbuf Get(ManagedArray layer, bool transpose = true)
         {
             var pixbuf = new Pixbuf(Colorspace.Rgb, false, 8, layer.x, layer.y);
 
-			double min = Double.MaxValue;
-			double max = Double.MinValue;
+            double min = Double.MaxValue;
+            double max = Double.MinValue;
 
             GetNormalization(layer, ref min, ref max);