Initial commit
add script to prepare mnist data in vw & numpy fmt
Add place holder in the empty data/ and models/ directories
add adaboostMM implementation partial
add some more things to the algorithm..
move files to src.
remove stupind reweighting code.
reorganize all files into one repository.
modify adaboost.py
fix commandline optiond for adaboost.
add script to read model
add l2 regularization to the cost function.
add activation functions
Implement simple fully connected Neural Network that allows custom network
weight initialization. Learn using simple stochastic gradient descent.
add methods to network.py

some addition..

some more implementation

commit network

add some more code

some more changes

some more changes to the network file
correct check_network method.
add save_model and load_model methods
scale the mnist pixel values to thr range [0-1]
random initialization of the inputs.
remove unimplemented sgd file. sgd is currently implemented within the networks
class
rename file
add nn_runner.py