I have created my own lmdb database consist of (non-image) 2D numpy lists values of data varies between 0 to MAX_INT.
sample size is 1500*75, and the original is 15000*77 ( very slow to train).
I have 2400 samples divided 5/6 for training and 1/6 testing. my net include 2 classes only (0,1).
The network isn't learning at all, I keep getting the same values over and over again, loss is either 0 or 87.3366 and accuracy is always 0.495 from iter 0 until iter 20K.
I've tried every possible solution, adjusting parameters, deepening the network, changing the whole network ! what am I doing wrong?