Contents

• License
• Mathmatical Tools
  • The model of a neuron
  • Examples of activation functions
  • Learning model
  • Associative memory
  • Measuring error
  • VC dimension
  
  
• Single-Layer Neural networks: Perceptron
  • Updating mechanism of the perceptron
  • Perceptron convergence theorem
  
  
• Multiple Layer Neural Networks
  • Weierstrass's approximation theorem
  • Universal approximation theorem