Module 1 Overview

Module 1 Overview#

Theme#

From neurons to multilayer networks

Essential Question#

How does a stack of differentiable units approximate complex functions from data?

Module Components#

  • Book prose: perceptrons, MLPs, activations, and representation

  • Assignment: baseline MLP design brief

  • Slides: from single units to layered networks

  • Narration: spoken flow for asynchronous delivery

  • Instructor notes: facilitation and misconceptions

  • Notebook: forward pass and activation comparison