%% Create 3-D Image Input Layer
% Create a 3-D image input layer for 132-by-132-by-116 color 3-D images with name 'input'. By default, the layer performs data normalization by subtracting the mean image of the training set from every input image.

layer = image3dInputLayer([132 132 116],'Name','input')

% Include a 3-D image input layer in a Layer array.

layers = [
    image3dInputLayer([28 28 28 3])
    convolution3dLayer(5,16,'Stride',4)
    reluLayer
    maxPooling3dLayer(2,'Stride',4)
    fullyConnectedLayer(10)
    softmaxLayer
    classificationLayer]

% Copyright 2018 The MathWorks, Inc.