NeuralNetwork_lib

Neural Networks:

• Perceptron
  • Initializing a Perceptron
  • Feeding Data through a Perceptron and receiving the Output
  • Training a Perceptron
    • use momentum for training
  • Setting extra Variables
• Neural Network
  • Initializing a Neural Network
  • Feeding Data through a Neural Network and receiving the Output
  • Training a Neural Network
    • use momentum for training
  • Setting extra Variables

Neuroevolution:

• Genetic Perceptron
  • Initializing a Genetic Perceptron
  • Feeding Data through a Genetic Perceptron and receiving the Output
  • Training a Genetic Perceptron
  • Setting extra Variables
• Genetic Neural Network
  • Initializing a Genetic Neural Network
  • Feeding Data through a Genetic Neural Network and receiving the Output
  • Training a Genetic Neural Network
  • Setting extra Variables

Convolution:

• Convolutional Neural Network
  • Initializing a Convolutional Neural Network
  • Feeding Data through a Convolutional Neural Network and receiving the Output
  • Training a Convolutional Neural Network
  • Setting extra Variables

General:

• Saving and Loading
  • Perceptron
  • Neural Network
  • Genetic Perceptron
  • Genetic Neural Network
  • Convolutional Neural Network
• Download

About

NeuralNetwork_lib is a Java Library made to easily construct Neural Networks and later on even Convolutional Neural networks and LSTM’s.

It is a project by Erik Hammon who tries to gain more knowledge about the inner workings of Neural networks by building this Library.