Backpropagation (01) + Neural Networks (09) + JAVA

►screenshots: https://prototypeprj.blogspot.com/2020/07/backpropagation-w-java-01-neural.html 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 08:40 go over the code in the backpropError method 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. ► get access to members-only video contents + support: https://www.youtube.com/channel/UCUvwlMMaeppKPdtAK8PxO8Q/join ► website + download source code: https://prototypeprj.com https://ai.prototypeprj.com https://crypto.prototypeprj.com ► download directly: download ai source code @ https://sites.fastspring.com/prototypeprj/instant/ai download crypto source code @ https://sites.fastspring.com/prototypeprj/instant/crypto download source code (old) page # 2 @ https://sites.fastspring.com/prototypeprj/instant/2020 download source code (older) page # 1 @ https://sites.fastspring.com/prototypeprj/instant/all