formatting line feed

Author: Niccolo Dal Santo

examples/train_convmixer_on_digits.m

@@ -1,28 +1,28 @@
-%% Train ConvMixer Network with Digit Dataset
-%
-% This example shows how to build a ConvMixer network architecture and
-% train it with the digit dataset.
-
-% Copyright 2021 The MathWorks, Inc.
-
-[XTrain, TTrain] = digitTrain4DArrayData;
-[XTest, TTest] = digitTest4DArrayData;
-
-% Build a ConvMixer layergraph
-lg = convMixerLayers( ...
-    InputSize=[28 28 1], ...
-    NumClasses=10, ...
-    HiddenDimension=256, ...
-    Depth=5, ...
-    ConnectOutputLayer=true, ...
-    PatchSize=1);
-
-% Instantiate options
-options = trainingOptions( "sgdm", ...
-    MaxEpochs=10, ...
-    Shuffle="every-epoch", ...
-    ValidationData={XTest, TTest}, ...
-    Plots="training-progress" );
-
-% Train ConvMixer
-net = trainNetwork(XTrain, TTrain, lg, options);
+%% Train ConvMixer Network with Digit Dataset
+%
+% This example shows how to build a ConvMixer network architecture and
+% train it with the digit dataset.
+
+% Copyright 2021 The MathWorks, Inc.
+
+[XTrain, TTrain] = digitTrain4DArrayData;
+[XTest, TTest] = digitTest4DArrayData;
+
+% Build a ConvMixer layergraph
+lg = convMixerLayers( ...
+    InputSize=[28 28 1], ...
+    NumClasses=10, ...
+    HiddenDimension=256, ...
+    Depth=5, ...
+    ConnectOutputLayer=true, ...
+    PatchSize=1);
+
+% Instantiate options
+options = trainingOptions( "sgdm", ...
+    MaxEpochs=10, ...
+    Shuffle="every-epoch", ...
+    ValidationData={XTest, TTest}, ...
+    Plots="training-progress" );
+
+% Train ConvMixer
+net = trainNetwork(XTrain, TTrain, lg, options);