LittleNN 1.0.4

LittleNN

• Introduction
• Usage
  • Example1 Xor Operator
    • Code
  • Example2 OCR Number Recognize
  • Example3 Serialize

Introduction

• The expectation is to provided a neural network minimization implementation.
• TargetFramework is net5.0. You can modify it according to your needs.
• All of the code is written in C#, and the project use the MIT LICENSE.
• Get more info from repository README.
• If you need faster performance, it is recommended to use other popular deep learning frameworks such as TensorFlow, PyTorch, or Keras.

Usage

Example1 Xor Operator

Code

NeuralNetwork network = new NeuralNetwork(2, new int[] { 6, 6, }, 1);

StandardData[] dataSets = new StandardData[]
{
  new StandardData(new float[] { 1f, 1f }, new float[] { 0f }),
  new StandardData(new float[] { 0f, 1f }, new float[] { 1f }),
  new StandardData(new float[] { 1f, 0f }, new float[] { 1f }),
  new StandardData(new float[] { 0f, 0f }, new float[] { 0f }),
};

Random random = new Random();
for (int i = 0; i < 1000 * 1000; i++)
{
    StandardData dataSet = dataSets[random.Next() % dataSets.Length];
    float error = network.Train(dataSet);
    if (i % (20 * 1000) == 0)
        // Expect: The error will decrease gradually
        Console.WriteLine($"{i}   : {error}");
}

Example2 OCR Number Recognize

• Get more info from repository README.

Example3 Serialize

• Get more info from repository README.