I try to construct the matrix to test with DNN. but I have a problem;
I have vectors that will vary in size from 200 columns to 1200 columns. Each vector represents the characteristic of a handwritten word (5000mot). what to do so that I can normalize vectors for use with RBM and DBN.
for MNIST it does not pose a problem because the images are the same size 28 * 28 which gives us 784 columns network input.
I hope I find the solution.
Thank you for your cooperation.
I try to use your code in my work of research but i have error!!!
This is my problem;
After extracting the characteristics of online handwritten words from a database. I obtained the feature vectors composed of the real data for each word but are variable in their sizes. Also I prepared equity vectors representing the labels of each word.
Can i use your proposed DBN-DNN for my data ?