← Introduction to Machine Learning
The Perceptron
Resources
Books
- Russell, S. and Norvig, P. (2010). Artificial Intelligence: A Modern Approach 3rd ed - Chapter 19 . Prentice Hall
- Bishop, C. (2006). Pattern Recognition and Machine Learning. Springer - Chapter 4
- Deisenroth M. P. et. al. (2020). Mathematics for Machine Learning - Chapter 10
Papers and Reports
- McCulloch, W., Pitts, W. (1943). A Logical Calculus of the Ideas Immanent in Nervous Activity
- Rosenblatt, F. (1962). Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
- Minsky, M., Papert, S. (1969). Perceptrons: An Introduction to Computational Geometry. MIT Press.
Web
- Perceptron Learning Algorithm
- Neural Networks and Deep Learning by Michael Nielsen
- 3Blue1Brown Neural Networks Series