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Help regarding CNN training

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Kaniska Samanta
Kaniska Samanta on 21 May 2019
Commented: Kaniska Samanta on 25 May 2019
Hi,
I am currently working on some signal processing techniques involving time-frequency analysis. Most of the cases, researchers are plotting the scalogram and feeding it as an image to train a pretrained CNN network by transfer learning process. Is there any way to train the network using some standard statistical features (e.g. mean, std, kurtosis, skewness etc.) instead of using the image of the scalogram? I am new in the field of deep learning so it will be much help if anyone can give any recommendation.
Thanks in advance.

Answers (1)

Shounak Mitra
Shounak Mitra on 22 May 2019
  2 Comments
Kaniska Samanta
Kaniska Samanta on 25 May 2019
Hi,
I am currently trying to train GoogleNet network with 7 statistical features. I have converted the feature vector of 180x7 (double) into table and added the corresponding Labels. I am getting the following error,
Capture.PNG
7 sub-columns of the column 1 are the seven features. What is wrong? Please let me know if I am doing any fundamental mistake. I am quit new in this field so any recommendation is welcome.

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