Oreilly – Learn Generative AI with PyTorch 2025-1

Apr 18, 2025 - 18:31

0 0

Learn Generative AI with PyTorch course. This course will introduce you to the underlying mechanisms of generative AI and help you build your own AI models from scratch. Throughout the course, you will use the PyTorch framework, which will be familiar to anyone who has worked with Python data tools. Along the way, you will learn the basics of generative adversarial networks (GANs), transformers, large language models (LLMs), variational autoencoders, propagation models, linguists, and more.

What you will learn:

Building a simple English to French translator
Creating a text generation model as powerful as GPT-2
Training a diffusion model to produce high-resolution images
Building music generators using GANs and transformers
Building an Image Style Transfer Model
Building an omniscient agent without the need for prior training

The generative AI projects you create use the same techniques and technologies that underpin large-scale models like GPT-4 and Stable Diffusion. You don’t need to be a machine learning expert – you can get started with some basic Python programming skills.

This course is suitable for people who:

Want to understand the basics of generative artificial intelligence.
Interested in building their own artificial intelligence models.
They are familiar with Python.
They want to do practical projects in the field of artificial intelligence.

Learn Generative AI with PyTorch course details

Publisher: Oreilly
Instructor: MARK LIU
Training level: Beginner to advanced
Training duration: 12 hours and 57 minutes

Course headings

Part 1. Introduction to generative AI
Chapter 1. What is generative AI and why PyTorch?
Chapter 2. Deep learning with PyTorch
Chapter 3. Generative adversarial networks: Shape and number generation
Part 2. Image generation
Chapter 4. Image generation with generative adversarial networks
Chapter 5. Selecting characteristics in generated images
Chapter 6. CycleGAN: Converting blond hair to black hair
Chapter 7. Image generation with variational autoencoders
Part 3. Natural language processing and Transformers
Chapter 8. Text generation with recurrent neural networks
Chapter 9. A line-by-line implementation of attention and Transformer
Chapter 10. Training a Transformer to translate English to French
Chapter 11. Building a generative pretrained Transformer from scratch
Chapter 12. Training a Transformer to generate text
Part 4. Applications and new developments
Chapter 13. Music generation with MuseGAN
Chapter 14. Building and training a music Transformer
Chapter 15. Diffusion models and text-to-image Transformers
Chapter 16. Pretrained large language models and the LangChain library
Appendix A. Installing Python, Jupyter Notebook, and PyTorch
Appendix B. Minimally qualified readers and deep learning basics

Course images

Learn Generative AI with PyTorch

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: None

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 18 MB

File(s) password: www.downloadly.ir

File size

2.01 GB

Oreilly – Learn Generative AI with PyTorch 2025-1