Finalize SPIE tutorial

Author: mldiego

code/nnv/engine/nn/layers/Conv2DLayer.m

@@ -520,12 +520,12 @@ function set_name(obj, name)
 
             % compute output sets
             if ~isa(input.V, 'gpuArray')
-                % c = vl_nnconv(input.V(:,:,:,1), obj.Weights, obj.Bias, 'Stride', obj.Stride, 'Pad', obj.PaddingSize, 'Dilate', obj.DilationFactor);
-                % V = vl_nnconv(input.V(:,:,:,2:input.numPred + 1), obj.Weights, [], 'Stride', obj.Stride, 'Pad', obj.PaddingSize, 'Dilate', obj.DilationFactor);   
-                c = dlconv(dlarray(input.V(:,:,:,1), "SSC"), obj.Weights, obj.Bias, 'Stride', obj.Stride, 'Padding', obj.PaddingSize, 'DilationFactor', obj.DilationFactor);
-                V = dlconv(dlarray(input.V(:,:,:,2:input.numPred + 1), "SSCB"), obj.Weights, 0, 'Stride', obj.Stride, 'Padding', obj.PaddingSize, 'DilationFactor', obj.DilationFactor);
-                c = extractdata(c);
-                V = extractdata(V);
+                c = vl_nnconv(input.V(:,:,:,1), obj.Weights, obj.Bias, 'Stride', obj.Stride, 'Pad', obj.PaddingSize, 'Dilate', obj.DilationFactor);
+                V = vl_nnconv(input.V(:,:,:,2:input.numPred + 1), obj.Weights, [], 'Stride', obj.Stride, 'Pad', obj.PaddingSize, 'Dilate', obj.DilationFactor);   
+                % c = dlconv(dlarray(input.V(:,:,:,1), "SSC"), obj.Weights, obj.Bias, 'Stride', obj.Stride, 'Padding', obj.PaddingSize, 'DilationFactor', obj.DilationFactor);
+                % V = dlconv(dlarray(input.V(:,:,:,2:input.numPred + 1), "SSCB"), obj.Weights, 0, 'Stride', obj.Stride, 'Padding', obj.PaddingSize, 'DilationFactor', obj.DilationFactor);
+                % c = extractdata(c);
+                % V = extractdata(V);
             else
                 c = dlconv(dlarray(input.V(:,:,:,1), "SSC"), obj.Weights, obj.Bias, 'Stride', obj.Stride, 'Padding', obj.PaddingSize, 'DilationFactor', obj.DilationFactor);
                 V = dlconv(dlarray(input.V(:,:,:,2:input.numPred + 1), "SSCB"), obj.Weights, 0, 'Stride', obj.Stride, 'Padding', obj.PaddingSize, 'DilationFactor', obj.DilationFactor);

code/nnv/examples/Tutorial/SPIE/Classification2D/exampleVizRanges.m

@@ -69,13 +69,13 @@
 
 % Evaluate input image
 Y_outputs = net.evaluate(img); 
-[~, yPred] = max(Y_outputs); % (expected: y = 1)
+[~, yPred] = max(Y_outputs); 
 
 % Evaluate lower and upper bounds
 LB_outputs = net.evaluate(lb_clip);
-[~, LB_Pred] = max(LB_outputs); % (expected: y = 1)
+[~, LB_Pred] = max(LB_outputs); 
 UB_outputs = net.evaluate(ub_clip);
-[~, UB_Pred] = max(UB_outputs); % (expected: y = 1)
+[~, UB_Pred] = max(UB_outputs); 
 
 % Now, we can do the verification process of this image w/ L_inf attack
 
@@ -118,8 +118,3 @@
 xlim([0.5 11.5]);
 scatter(x,Y_outputs, 'x', 'MarkerEdgeColor', 'r');
 
-
-%% Notes
-% The ranges obtained are an overappoximation (projection) of the 
-% true ranges of the computed star sets
-