Backpropagation w/ JAVA (01) - Neural Networks (09)

Neural Networks w/ JAVA (Backpropagation 01) - Tutorial 09

prototypeprj.com = zaneacademy.com (version 2.0)

00:06 demo a prebuilt version of the app. (use xor training data) 00:14 run the neural network  00:26 train the neural network  00:36 run the neural network  00:41 target and actual results are now very close  00:47 as we do more training the target and actual results get closer  01:00 go over the simple neural network used here  02:04 code the application  02:22 go over the various classes that make up the app.  03:10 layer types  03:24 code the Neuron class  04:02 activation method  04:14 calculate derivative method  04:49 code the NeuralNetwork class  06:00 forwardprop method containing code that runs the network  07:43 controlling how fast the network learns  08:00 backpropError method containing code that backpropagate the error 08:12 drawing of the network implemented here  10:00 code the Driver class  10:17 go over the training data  10:44 go over the code that drives the application  12:15 test run the completed app. ----------------------------------------------------------------------------------------------------------------------------- quickly download, import into Eclipse, and run zip file for 'Neural Networks w/ JAVA (Backpropagation 01) - Tutorial 09' ----------------------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/ai -----------------------------------------------------------------------------------------------------------