Implementing Perceptron learning algorithm from scratch

Outline

• Artificial neurons – a brief glimpse into the early history of machine learning
  • The formal definition of an artificial neuron
  • The perceptron learning rule
• Implementing a perceptron learning algorithm in Python
  • An object-oriented perceptron API
  • Training a perceptron model on the Iris dataset
• Adaptive linear neurons and the convergence of learning
  • Minimizing cost functions with gradient descent
  • Implementing an Adaptive Linear Neuron in Python
  • Improving gradient descent through feature scaling
  • Large scale machine learning and stochastic gradient descent

Citations

The codes which are implemented in this repository , were studied through Machine Learning with PyTorch by Sebastian Raschka book. If you would like to use the codes given in that repository , I would appreciate citations as follows :

@misc{rasbt,
      title={Machine Learning with PyTorch by Sebastian Raschka}, 
      author={Sebastian Raschka},
      year={2022},
}