Multi input convolutional neural network
How to implement three stream convolutional neural network. I was tried to use the following file exchange which is the implementation of two stream CNN using digit database.
https://jp.mathworks.com/matlabcentral/fileexchange/74760-image-classification-using-cnn-with-multi-input
But my database in folder format. Above file exchange use the digitTrain4Darray as the input in which the images are stored in the table and corresponding label is stored in the table in array format. But i don’t know how to map my database to the code provided in the file exchange.
my database contains 50 subfolders represents the 50 classes. Each class contains the 6 image. I have to use 4 images for training and 2 images for testing.
Similarly i have to 2 more database in same format.
I need to train my CNN with these three database separately. Finally i have to concatenate the results as in the image.
Kindly suggest the ways to do this task.
Thanks and regards,
Ramasenthil.How to implement three stream convolutional neural network. I was tried to use the following file exchange which is the implementation of two stream CNN using digit database.
https://jp.mathworks.com/matlabcentral/fileexchange/74760-image-classification-using-cnn-with-multi-input
But my database in folder format. Above file exchange use the digitTrain4Darray as the input in which the images are stored in the table and corresponding label is stored in the table in array format. But i don’t know how to map my database to the code provided in the file exchange.
my database contains 50 subfolders represents the 50 classes. Each class contains the 6 image. I have to use 4 images for training and 2 images for testing.
Similarly i have to 2 more database in same format.
I need to train my CNN with these three database separately. Finally i have to concatenate the results as in the image.
Kindly suggest the ways to do this task.
Thanks and regards,
Ramasenthil. How to implement three stream convolutional neural network. I was tried to use the following file exchange which is the implementation of two stream CNN using digit database.
https://jp.mathworks.com/matlabcentral/fileexchange/74760-image-classification-using-cnn-with-multi-input
But my database in folder format. Above file exchange use the digitTrain4Darray as the input in which the images are stored in the table and corresponding label is stored in the table in array format. But i don’t know how to map my database to the code provided in the file exchange.
my database contains 50 subfolders represents the 50 classes. Each class contains the 6 image. I have to use 4 images for training and 2 images for testing.
Similarly i have to 2 more database in same format.
I need to train my CNN with these three database separately. Finally i have to concatenate the results as in the image.
Kindly suggest the ways to do this task.
Thanks and regards,
Ramasenthil. multi input cnn, deep learning, cnn, input layer, image input, concatenation, multi stream cnn, deep learning toolbox, data import, data augmentation, cnn training, image database, convolutional neural network, image processing, image classification, table array MATLAB Answers — New Questions