⮜ Back ⮝ Program rus Forward ⮞

Generative Neural Networks

Lesson 1

    References

  1. Universal approximation theorem
Downloads Lesson B1.nb model.txt Lesson B1.pdf

Lesson 2

    References

  1. Stochastic gradient descent
Downloads Lesson B2.nb MNIST images MNIST labels Lesson B2.pdf

Lesson 3

    References

  1. DLSS (Nvidia) — Super Resolution and Deep Learning Anti-aliasing
  2. NeRF — Representing Scenes as Neural Radiance Fields for View Synthesis
  3. ChatGPT (Open AI)

    References

  1. DeepDream (Google)
  2. This Person Does Not Exist
  3. Word2vec
Downloads Lesson B3.pdf

Lesson 4

    References

  1. DALL·E 3 (Open AI)
  2. Imagen (Google)
  3. LAION-5B
  4. Stable Diffusion (Stability AI + RunwayML)
  5. Diffusion vs. Auto-Regression (video)
  6. stability.ai upscaler — Image upscaler based on Stable Diffusion
Downloads Lesson B4.pdf

Stable Diffusion

ComfyUI basic setup