MARK LIU

Build a Text-to-Image Generator (from Scratch)

Build a Text-to-Image Generator (from Scratch) guides you through creating AI models that can generate amazing images from simple text prompts. You’ll explore two distinct methods, learning how transformers turn images into sequences of patches, and how diffusion models refine noise into coherent images. Author Mark Liu explains each stage with clear text, diagrams, and examples. You’ll develop models that can classify images, automatically add image captions, reconstruct images, and deliver high-resolution content. By the time you’re done, you’ll have a deep understanding of how image generation AI works—and the satisfaction of building your text-to-image models!

Learn Generative AI with PyTorch

Learn Generative AI with PyTorch introduces the underlying mechanics of generative AI by helping you build your own working AI models. You’ll begin by creating simple images using a GAN, and then progress to writing a language translation transformer line-by-line. As you work through the fun and fascinating projects, you’ll train models to create anime images, write like Hemingway, make music like Mozart, and more. You just need Python and a few machine learning basics to get started. You’ll learn the rest as you go!