Welcome to the repository for the Machine Learning course, offered at the Federal University of Rio Grande do Norte (UFRN) within the Postgraduate Program in Electrical and Computer Engineering and taught by Professor Ivanovitch Silva. This repository contains summaries, projects, and references related to the course.
- 📋 Summary of
three first chaptersof the book Designing Machine Learning Systems by Chip Huyen [Link] - 📋 Summary of the
fourth chapterof the book Designing Machine Learning Systems by Chip Huyen [Link] - 📋 Summary of the
fifth chapterof the book Designing Machine Learning Systems by Chip Huyen [Link]
- 🔍 Analysis of the article On the Societal Impact of Open Foundation Models [Link]
- 🔍 Analysis of the
chapter zeroof the book The Principles of Deep Learning Theory by Daniel A. Roberts and Sho Yaida [Link]
- 📊 Presentation of
Extra Chapter: Vanishing and Exploding Gradientsfrom Deep Learning with PyTorch: Step-by-Step: A Beginner’s Guide by Daniel Voigt Godoy [Link]
- 🖇️ Ivanovitch's repository. [Link]
- 📚 Huyen, Chip. Designing Machine Learning Systems. [Link]
- 📄 Kapoor, Sayash, et al. On the Societal Impact of Open Foundation Models. [Link]
- 📚 Roberts, Daniel A., and Sho Yaida. The Principles of Deep Learning Theory. [Link]
- 📚 Godoy, D. V. (2022). Deep Learning with PyTorch: Step-by-Step: A Beginner’s Guide (Version 1.1.1).