/* ___________________________________________________________

• <<<#R_V_C_G_E_E_K_S>>>___________
• CREATED BY #RVCGEEKS @PUNE for more rvchavadekar@gmail.com
• #RVCGEEKS neural network framework with backpropagation
• created on 10.11.2018
• this program reads a data file and predicts outputs bt NN
• using stochastic gradient descent

*/

this program illustrates the working of deep feed forward neural network using ardent Cpp programming and no library except stl abstractions ...

the preset topology uses the MNIST dataset for learning handwritten digits ... dont worry if you dont have any of it as you will be asked to download the dataset in the app if its absent and the program will extract and set it up on its own...

also the app saves the progress of current learnint in a '.dat' file so it is restored automatically when you open the app next time provided its in same local directory

PLEASE DONOT KEEP THE Knowledge .dat file of some other topology in same dir as it may lead to bad alloc exception...

______to compile just hit g++ main.cpp and run a.out...