I’ve to implement cnn on a multi-dimensional signal data whose shape is somehow similar to that of a colorful image, as in each of my data points has a dimension of [65 * 1 * 1100] (analogy with a colored image is that instead of 3 layers of colors i have 65 layers, and for (length * width) of an image i have (1*1100). These data are currently in python list form because from raw csv file i first extract & convert them to python list.
I just wanted to know, how exactly can they be converted from list to a form which will be suitable for tensorflow, and all the train/test split type tasks may be done easily?
I know this seems to be a silly problem but I’m relatively new to tf and i really don’t know what to do here. Any help is really appreciated!