Class Scheduling Application (03) w/ Genetic Algorithm & JAVA

 

01:24 use sqlite jar

02:39 add database handling of instructor availability

04:26 create and populate database

06:40 add code for handling scheduling conflicts

15:02 test run application

23:37 change input data coming

from sqlite database and re-test run application

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'Class Scheduling Application (03) w/ Genetic Algorithm & JAVA'

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Logistic Regression (Tutorial 02) - w/ Java & Stochastic Gradient Descent

 

00:06 demo a prebuilt version of the application

01:42 code the app.

11:19 test run completed app.

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'Logistic Regression (Tutorial 02) - w/ Java & Stochastic Gradient Descent'

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Logistic Regression w/ Java & Gradient Descent (Tutorial 01)

 

00:06 demo a prebuilt version of the application

05:36 logistic regression hypothesis

05:50 logistic/sigmoid function

05:58 gradient of the cost function

06:04 update weights with gradient descent

code the application

14:37 test run the application

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'Logistic Regression w/ Java & Gradient Descent (Tutorial 01)'

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Neural Networks w/ JAVA - Tutorial 05

00:06 step #0 randomly initialize weights for n inputs

00:28 objective is to determine what weights would lead to

'Target Result = Result' for all vectors in training data

00:42 step#1 calculate weighted sum, step#2 apply

activation function, step#3 determine error, step#4 adjust weights

01:17 demo app. with various number of inputs

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'Neural Networks w/ JAVA - Tutorial 05'

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Genetic Algorithms w/ JAVA + JavaFX - Tutorial 02

 

00:01 demo a prebuilt version of the application

02:24 code application

16:18 code the JavaFX app. Driver class

23:00 test run completed application

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