Neural Networks w/ JAVA - Prototype Project 04

4,630 views · Published 15 March 2017 · 11:52 · Indexed 25 September 2026

Channel: Prototype Project · 2017 · Education

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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

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