How can I input complex data 3-D matrices in a convolutional neural network (using deep learning toolbox)?
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I need to train a convolutional neural network (CNN) whose inputs are 3-dimensional matrices containing complex numbers, but checking the Deep Learning Toolbox documentation it seems that inputs for CNNs must be images with defined channels. How can I input this type of data into a CNN using the Deep Learning Toolbox?
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Gabija Marsalkaite
on 3 May 2019
MATLAB does not have explicit support for complex numbers in neural networks in 2019a (this may change in later releases). In your case I would try separating real and imaginary parts as two channels (or more if you can think of better ways to represent data) and use it as 3D images with 2 channels.
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