2/1 - Week 1 - Welcome Back, Rozin Mirrors

2/8 - Week 2 - Pixel Access, Brightness + Color Tracking, Text Rain

2/15 - Week 3 - Body Tracking

2/22 - Week 4 - Intro to Machine Learning with Teachable Machine

3/1 - Week 5 - Neural Networks, Machine Learning, StyleGAN2

3/8 - Week 6 - StyleGAN2 continued

3/15 - Week 7 - Seminar/open work time

3/22 - Week 8 - AI Art Lecture

3/29 - Week 9 - pix2pix

4/5 - Week 10 - Final Project Proposals

4/12 - Week 11 - Dataset processing workshop

4/26 - Week 14 - Stable Diffusion

Schedule

  1. Show and tell (look through Are.na)

    Emris: https://www.clog-online.com/shop/clog-artificial-intelligence/

    Golan Levin:https://golancourses.net/60120/deliverables/1-aiart/ai-chapbook-gallery-2023/

  2. Share sketches from Week 4 (Teachable Machine)

  3. Lecture: Machine Learning, Neural Networks

  4. Command Line Practice

  5. Workshop: Training a StyleGAN2 model

Homework

Do

StyleGAN2 Assignment - Simulated Motion

  1. Install FFMPEG (watch the short video. For Windows folks, there’s a timestamp in the video about halfway through where I cover Windows installation.)

Read

  1. Making AI Art Responsibly: A Field Guide - Emily Saltz, Lia Coleman, Claire Leibowicz
  2. Invisible Images (Your Pictures Are Looking at You) - Trevor Paglen

Watch

  1. A History of GANs - Artificial Images (11:16)
  2. StyleGAN2 In-Depth Week 3 (latent spaces, linear interpolations and noise loops) (starting at 33:18)
  3. Split video into frames using FFMPEG - Artificial Images (4:27) (for now, just watch the video, we will do these steps in class together. the purpose of this video is to get you thinking about what it means to use a video as a source for an image data set)

Lecture: Machine Learning