Example Neural Network in Rust

• I have implemented this Neural Network for just learning purpose.
• I was going through the Deep Learning and Neural Network lectures by Andrew Ng and can't resist the thought of implementing it myself as a barebone model.
• First I have implemented directly looping through all the layers. This old implementation you can be found in this same repo in the old_approach branch. But then I have learned that there is better way to do it here. I have refered the similar kind of implementation in python here. This implementation seems very self explanatory and easy to expand.
• But the main difference is in this repo I have implemented the vectorized implementation. By vectorized implementation I mean passing multiple input examples as single 2D matrix to the deep neural network(dnn).
• Still in convolution neural network(cnn) we have to loop through each input example separately. Also I have to implement the convolution back propagation.