Neural Networks w/ JAVA - Prototype Project 04

►screenshots: https://prototypeprj.blogspot.com/2020/09/neural-networks-w-java-tutorial-04.html 00:06 have 3 inputs + a bias and need to obtain equation of a plane separating the 0s and 1s 00:35 step #0 randomly initialize weights w0, w1, w2, and w3 00:45 step #1 calculate weighted sum 01:00 step #2 apply activation function 01:18 step #3 determine error 01:27 step #4 adjust weights 01:54 'learning rate' is the rate at which the neural network learns (ranges from 0 to 1) 02:02 repeat steps 1 to 4 until error = 0 02:31 objective here is to determine what weights would lead to 'Target Result' = 'Result' for all vectors in training data 02:48 set weighted sum equal to the threshold 03:32 demo prebuilt version of the app. 05:09 code the application 05:31 go over the training data 06:15 code Driver class 10:46 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