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
16:00 test run completed application
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quickly download, import into Eclipse, and run zip file for
'Neural Networks w/ JAVA - Tutorial 02'
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download source code @ https://sites.fastspring.com/prototypeprj/instant/2020
download source code @ https://sites.fastspring.com/prototypeprj/instant/all
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