Neural Networks + JAVA

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• Neural Networks + JAVA (Prototype Project 01)

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  • start by randomly initializing the weights

  • 1st. calculate the weighted sum

  • 2nd. apply activation function

  • 3rd. determine the error

  • 4th. adjust the weights

  • repeat steps 1 through 4 for all vectors in the training data. Loop through additional epochs until Error = 0

  • The objective is to determine what weights would lead to

    Target Result = Result for all vectors in the training data

• Neural Networks + JAVA (Prototype Project 02)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Refactor Prototype Project 01

  • obtain the equation of line separating the zeros from the ones

• Neural Networks + JAVA (Prototype Project 03)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Refactor Prototype Project 02

  • Add a bias (a third weight)

• Neural Networks + JAVA (Prototype Project 04)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Refactor Prototype Project 03

  • find equation of plane separating zeros from ones

• Neural Networks + JAVA (Prototype Project 05)

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  • Refactor Prototype Project 04

  • find equation of hyperplane separating zeros from ones

• Neural Networks + Solve XOR w/ Hill Climbing + JAVA (Prototype Project 06)

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  • Solve XOR w/ Hill Climbing & Log-Sigmoid Transfer Function

• Neural Networks + Solve XOR w/ Simulated Annealing + JAVA (Prototype Proj 07)

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  • Solve XOR w/ Simulated Annealing & Log-Sigmoid Transfer Function

• Neural Networks + Hopfield Network + JAVA (Prototype Project 08)

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  • Train + Run Hopfield Neural Network

• Neural Networks + Backpropagation + JAVA (Prototype Project 09)

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  • implement Neural Networks using Backpropagation

  • network has 2 input neurons, 2 neurons in the hidden layer, and 1 neuron in the output layer

• Neural Networks + Backpropagation + JAVA (Prototype Project 10)

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  • Refactor Prototype Project 09

  • specify number of neurons in the hidden layer

• Context Sensitive Keyboard Idea Prototype Project

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  • Minimal keyboard idea