Convolutional network with no image input
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Hello
I'm tryng to build convolutional neural network with 2 wave input data (201 elements each).
However when I launch 'trainNetwork' with the input, I got this error message.
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Error using trainNetwork (line 170)
Invalid training data. X must be a 4-D array of images, an ImageDatastore, or a table.
%%%%%%%%%%%%%%%%%%%%%%
I looked for some solution but I got no infomation, furthermore some people say it is not possible to apply multiple inputs (2 or 4) to CNN.
I need some help.
Layers property
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1 'input' Image Input 1x201x2 images with 'zerocenter' normalization
2 'conv_1' Convolution 16 1x3 convolutions with stride [1 1] and padding 'same'
3 'BN_1' Batch Normalization Batch normalization
4 'relu_1' ReLU ReLU
5 'MaxPooling_1' Max Pooling 1x2 max pooling with stride [1 2] and padding [0 0 0 0]
6 'conv_2' Convolution 16 1x3 convolutions with stride [1 1] and padding 'same'
7 'BN_2' Batch Normalization Batch normalization
8 'relu_2' ReLU ReLU
9 'MaxPooling_2' Max Pooling 1x2 max pooling with stride [1 2] and padding [0 0 0 0]
10 'conv_3' Convolution 16 1x3 convolutions with stride [1 1] and padding 'same'
11 'BN_3' Batch Normalization Batch normalization
12 'relu_3' ReLU ReLU
13 'MaxPooling_3' Max Pooling 1x2 max pooling with stride [1 2] and padding [0 0 0 0]
14 'conv_4' Convolution 16 1x3 convolutions with stride [1 1] and padding 'same'
15 'BN_4' Batch Normalization Batch normalization
16 'relu_4' ReLU ReLU
17 'MaxPooling_4' Max Pooling 1x2 max pooling with stride [1 2] and padding [0 0 0 0]
18 'dropout' Dropout 20% dropout
19 'fullyConnect' Fully Connected 3 fully connected layer
20 'regressionOutput' Regression Output mean-squared-error
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2020-11-2
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