Neural Networks w/ JAVA - Prototype Project 02

►screenshots: https://prototypeprj.blogspot.com/2020/09/neural-networks-w-java-tutorial-02.html 00:06 obtain equation of line separating the 0s and 1s 00:32 step #0 randomly initialize weights 00:39 step #1 calculate weighted sum 00:50 step #2 apply activation function 01:10 step #3 determine error 01:19 step #4 adjust weights 01:39 repeat steps 1 to 4 until error = 0 01:57 objective here is to determine what weights would lead to 'Target Result' = 'Result' for all vectors in training data 02:13 set weighted sum equal to the threshold 02:47 demo a prebuilt version of the app. 03:25 code the application 04:26 what is a perceptron 04:56 'and' training data used in this tutorial 05:40 calculateWeightedSum 05:56 applyActivationFunction 06:09 adjustWeights 06:44 code application Driver class 11:34 JavaFX plotting code for 'and' data points and decision boundary 16:00 test run completed application ► 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