Workbook

Deep Learning

A hands-on, application-driven introduction to deep learning, focused on building and understanding modern AI systems.

Units

  1. 1

    Introduction to Neural Networks

    Build a complete mental model of deep learning from the ground up — from the 1943 mathematical neuron to modern training techniques. Master the architecture, the mathematics, and the practical toolkit every deep learning practitioner needs.

    →
  2. 2

    Computer Vision

    Coming soon

  3. 3

    Natural Language Processing

    Coming soon

  4. 4

    Recommendation Systems

    A deep dive into the theory, algorithms, and engineering of modern recommendation systems.

    →
  5. 5

    Generative AI

    Coming soon

About

This workbook was created and is maintained by Dr. Brinnae Bent at Duke University for AIPI 540: Deep Learning Applications.