Neural Network beginner level tutorial I am trying to build a simple multi layer perceptron Neural Network in Java, but apparently my calculations are off. I am looking for a beginner-level tutorial which can help me to understand how to properly calculate forward and backward pass, preferably with examples.
One of articles which helped me a lot is : A Step by Step Backpropagation Example by Matt Mazur. It covers forward and backward pass of MLP. I hope that helps.

Another great source is http://www.deeplearningbook.org/