Neural Network (Part 7) : Cut and Paste Code

Ok - so you don't like tutorials, and would rather just cut and paste some code.This is for you.http://www.openprocessing.org/visuals/?visualID=33991Make sure to select "Source code" when you get there, otherwise it will be quite boring.Here is an animated gif which shows the program in action.See

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Neural Network (Part 6) : Back Propagation, a worked example

A worked example of a Back-propagation training cycle.In this example we will create a 2 layer network (as seen above), to accept 2 readings, and produce 2 outputs. The readings are (0,1) and the expectedOutputs in this example are (1,0).Step 1: Create the network NeuralNetwork NN = new NeuralNetwo

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Neural Network (Part 5): The Back Propagation process

Back-propagationBack propagation is the process by which you move backwards through the neural network to adjust the weights and biases so as to reduce the total error of the network. The total error of the network is essentially the difference between the end results (actu

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