Neural Networks + JAVA + Backpropagation 02

Neural Networks w/ JAVA (Backpropagation 02) - Tutorial 10

prototypeprj.com = zaneacademy.com (version 2.0)

00:06 demo a prebuilt version of the app. (use xor training data) 00:21 run the neural network  00:42 train the neural network  00:50 run the neural network  00:53 target and actual results are now very close  00:59 as we do more training the target and actual results get closer  01:11 go over the simple neural network used here  02:05 drawing of the implemented network  02:25 code the application  02:44 go over the various classes that make up the app.  03:45 layer types  04:00 code the Neuron class  05:07 activation method  05:20 calculate derivative method  05:41 define training data in Driver class  06:40 code the Layer class  07:47 NeuralNetwork class  09:28 forwardprop method containing code that runs the network  10:53 backpropError method containing code that backpropagate the error  11:05 controlling how fast the network learns  12:22 code the Driver class  12:44 go over the code that drives the application  14:42 test run the completed app. ----------------------------------------------------------------------------------------------------------------------------- quickly download, import into Eclipse, and run zip file for 'Neural Networks w/ JAVA (Backpropagation 02) - Tutorial 10' ----------------------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/2020 download source code @ https://sites.fastspring.com/prototypeprj/instant/all -----------------------------------------------------------------------------------------------------------