Hi, Is it possible to train a Convolutional Neural Network for NxNxM inputs, where M is the size of the channel and is greater than 3?

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The Image Input layer of a convolutional neural network only takes in NxNx1 (gray scale) or NxNx3 (RGB). However my data is NxNx25, is there a way to train this sort of data with Matlab?

Accepted Answer

Sindhu Yerragunta
Sindhu Yerragunta on 10 Jan 2018
Hi Vince,
As of now it is not possible to train a convolutional Neural Network to be able to work with more than 3 channels data.
This enhancement will be supported in one of the future releases of Neural Network Toolbox.
-Sindhu
  3 Comments
Pedapudi Bharath Raja Bhoopal
@Sindhu Yerragunta
Can you please comfirm if multi channel is supported in latest matlab desktop version? (name the version)
I have observed that in matlab online, multichannel is acceptable for ImageInputLayer function.
inLayer=imageInputLayer([28 28 128])
inLayer =
ImageInputLayer with properties:
Name: ''
InputSize: [28 28 128]
Hyperparameters
DataAugmentation: 'none'
Normalization: 'zerocenter'
NormalizationDimension: 'auto'
Mean: []

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More Answers (1)

Zhiyi TANG
Zhiyi TANG on 27 Mar 2018

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