00:06 'and' training data used in this tutorial
00:34 step #0 randomly initializing weights
00:47 step #1 calculate weighted sum
01:12 step #2 apply activation function
01:39 step #3 determine error
01:54 step #4 adjust weights
02:20 what is 'the learning rate'
02:32 repeat steps 1 to 4 until error = 0
02:42 what is an epoch
03:06 what is the objective here
03:23 demo a prebuilt version of the app.
04:24 code the application
12:35 test run the completed app.
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quickly download, import into Eclipse, and run zip file for
'Neural Networks w/ JAVA - Tutorial 01'
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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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