Part 3 – Early neuronal model: Rosenblatt’s perceptron.

• Intro to the work of Frank Rosenblatt.
• Definitions: supervised vs. unsupervised learning.
• The perceptron convergence theorem.
• First practical learning paradigm. Decreasing our mistakes.
• Learning as optimization: gradient descend.
• Vintage example: The perceptron performing face recognition.